{"id":15,"date":"2015-10-29T14:08:23","date_gmt":"2015-10-29T18:08:23","guid":{"rendered":"https:\/\/sites.bu.edu\/tcn\/?page_id=15"},"modified":"2026-02-04T00:43:34","modified_gmt":"2026-02-04T05:43:34","slug":"publications","status":"publish","type":"page","link":"https:\/\/sites.bu.edu\/tcn\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"<ul>\n<li>Sarkar, A., and Howard, M.W. (2026). Hierarchical temporal receptive windows and zero-shot timescale generalization in biologically constrained scale-invariant deep networks. (<a href=\"https:\/\/arxiv.org\/pdf\/2601.02618\">arXiv<\/a>) <\/li>\n<li>Sarkar, A., Wang, C., Zuo, S., and Howard, M.W. (in press).  &#8220;What&#8221; x &#8220;When&#8221; working memory representations using Laplace Neural Manifolds. <i>eLife<\/i>. (<a href=\"https:\/\/arxiv.org\/pdf\/2409.20484\">arXiv<\/a>)<\/li>\n<li>Daniels, B.C., and Howard, M.W. (2025).  Continuous attractor networks for Laplace Neural Manifolds. <i>Computational Brain &amp; Behavior<\/i>. <b>8<\/b>, 392\u2013409. (<a href=\"\/tcn\/files\/2024\/06\/Laplace-ContAttractor.pdf\">pdf<\/a>) (<a href=\"https:\/\/arxiv.org\/abs\/2406.04545\">arXiv<\/a>)  (<a href=\"https:\/\/doi.org\/10.1007\/s42113-024-00234-4\">doi<\/a>)<\/li>\n<li>Affan, R.O., Bright, I.M., Pemberton, L.N., Cruzado,  N.A., Scott, B.B., and Howard,  M.W. (2025). Ramping dynamics in the frontal cortex unfold over multiple timescales during motor planning. <I>Journal of Neurophysiology<\/I>, 133, 625-637. (<a href=\"https:\/\/www.biorxiv.org\/content\/10.1101\/2024.02.05.578819v2\">bioRxiv<\/a>) (<a href=\"\/tcn\/files\/2025\/05\/Affan-etal_JNphys_2025.pdf\">pdf<\/a>) (<a href=\"https:\/\/doi.org\/10.1152\/jn.00234.2024\">doi<\/a>) <\/li>\n<li>Howard, M.W., Esfahani, Z.G., Le, B., and Sederberg, P.B. (2025). Learning temporal relationships between symbols with Laplace Neural Manifolds. <i>Computational Brain &amp; Behavior<\/i> <b>8<\/b>, 211-232. (<a href=\"\/tcn\/files\/2024\/10\/LaplaceRW-CBB-R.pdf\">pdf<\/a>) (<a href=\"https:\/\/arxiv.org\/abs\/2302.10163\">arXiv<\/a>) (<a href=\"https:\/\/doi.org\/10.1007\/s42113-024-00230-8\">doi<\/a>)<\/li>\n<li>Senne*, R.A.,Suthard*, R.L., Cao, R., Monasterio, A.H.,Reusch, E.A., Buzharsky, M.D., Howard, M.W., and Ramirez, S. (2024). A hippocampal astrocytic sequence emerges during learning and memory. (<a href=\"https:\/\/doi.org\/10.1101\/2024.09.06.611660\">bioRxiv<\/a>)\n<\/li>\n<li>Cao, R., Bright, I.M., and Howard, M.W. (2024). Ramping cells in rodent mPFC encode time to past and future events via real Laplace transform. <i>Proceedings of the National Academy of Sciences,<\/i> <b>121<\/b> e2404169121. (<a href=\"https:\/\/www.biorxiv.org\/content\/10.1101\/2024.02.13.580170v2\">bioRxiv<\/a>) (<a href=\"\/tcn\/files\/2024\/09\/Cao_et_al_2024.pdf\">pdf<\/a>) (<a href=\"https:\/\/doi.org\/10.1073\/pnas.2404169121\">doi<\/a>)<\/li>\n<li>Lohnas, L. J. and Howard, M. W. (2024).  The influence of emotion on temporal context models. <i>Cognition and Emotion<\/i>. (<a href=\"https:\/\/osf.io\/preprints\/psyarxiv\/n2a89\">PsyArXiv<\/a>) (<a href=\"https:\/\/doi.org\/10.1080\/02699931.2024.2371075\">doi<\/a>)<\/li>\n<li>Mikkelsen, C., Charczynski, S.J., Warden, M.R., Miller, E.K., and  Howard, M.W. (2023). Coding of time with non-linear mixed selectivity in prefrontal cortex ensembles. (<a href=\"https:\/\/biorxiv.org\/cgi\/content\/short\/2023.04.07.535754v1\">bioRxiv<\/a>) (<a href=\"\/tcn\/files\/2023\/04\/BIORXIV-2023-535754v1-Howard.pdf\">pdf<\/a>).\n<\/li>\n<li>Maini, S.S., Mojizuki-Freeman, J., Indi, C.S., Jacques, B., Sederberg, P.B., Howard, M.W., and Tiganj, T. (2023).  Representing latent dimensions using compressed number lines. <i>2023 International Joint Conference on Neural Networks (IJCNN)<\/i>. (<a href=\"https:\/\/homes.luddy.indiana.edu\/ztiganj\/papers\/Number_Lines_IJCNN2023.pdf\">pdf<\/a>) (<a href=\"https:\/\/doi.org\/10.1109\/IJCNN54540.2023.10190998\">doi<\/a>).\n<\/li>\n<li>Howard, M.W. (2023). Formal models of memory based on temporally-varying representations. In F. G. Ashby, H. Colonius, &amp; E. Dzhafarov (Eds.), <i>The New Handbook of Mathematical Psychology<\/i>, Volume 3. Cambridge University Press. (<a href=\"\/tcn\/files\/2022\/01\/HowardCh5-arxiv.pdf\">pdf<\/a>) (<a href=\"http:\/\/arxiv.org\/abs\/2201.01796\">arXiv<\/a>) (<a href=\"https:\/\/doi.org\/10.1017\/9781108902724.006\">doi<\/a>)<\/li>\n<li>Cao, R.*, Bladon, J.H.*, Charczynski, S.J., Hasselmo, M.E., and Howard, M.W. (2022). Internally generated time in the rodent hippocampus is logarithmically compressed. <em>eLife,<\/em><b>11<\/b>, e75353.\u00a0(<a href=\"https:\/\/elifesciences.org\/articles\/75353\">pdf<\/a>) (<a href=\"https:\/\/www.biorxiv.org\/content\/10.1101\/2021.10.25.465750v2\">bioRxiv<\/a>) (<a href=\"https:\/\/doi.org\/10.7554\/eLife.75353\">doi<\/a>)<\/li>\n<li>Bright, I.M., Singh, I., Didomenica, R., Oliva, A., and Howard, M.W. (2022).\u00a0 The time to initiate retrieval of a memory depends on recency. (<a href=\"\/tcn\/files\/2022\/09\/CR.pdf\">pdf<\/a>) (<a href=\"https:\/\/www.biorxiv.org\/content\/10.1101\/2022.09.16.508287v1\">bioRxiv<\/a>)<\/li>\n<li>Jacques, B.G, Tiganj, Z., Sarkar, A., Howard, M.W., and Sederberg, P.B. (2022). A deep convolutional neural network that is invariant to time rescaling. <i>Proceedings of the 39th International Conference on Machine Learning,<\/i>\u00a0<b>162<\/b>, 9729-9738. (<a href=\"https:\/\/arxiv.org\/abs\/2107.04616\">arXiv<\/a>) (<a href=\"https:\/\/proceedings.mlr.press\/v162\/jacques22a.html\">pdf<\/a>) (<a href=\"https:\/\/github.com\/compmem\/SITHCon\">github<\/a>)<\/li>\n<li> Maini, S.S., Mochizuki-Freeman,  J.,  Indi, C.S.,  Jacques, B.G.,  Sederberg, P.B.,   Howard, M.W.,  and Tiganj, Z. (2022). Constructing compressed number lines of latent variables using a cognitive model of memory and deep neural networks. <a href=\"https:\/\/memari-workshop.github.io\/\">NeurIPS MemARI workshop.<\/a> (<a href=\"https:\/\/memari-workshop.github.io\/papers\/paper_42.pdf\">pdf<\/a>) (<a href=\"https:\/\/youtu.be\/ZGJDHycWEBQ\">Video<\/a>) <\/li>\n<li>Tiganj, Z.*, Singh, I.*, Esfahani, Z.G., and Howard, M.W. (2022). Scanning a compressed ordered representation of the future. <i>Journal of Experimental Psychology: General<\/i>. <b>151<\/b>, 3082\u20133096. (<a href=\"\/tcn\/files\/2021\/01\/JOIR-revised-NHB.pdf\">pdf<\/a>) (<a href=\"https:\/\/www.biorxiv.org\/content\/10.1101\/229617v2\">bioRxiv<\/a>) (<a href=\"https:\/\/doi.org\/10.1037\/xge0001243\">doi<\/a>)<\/li>\n<li>Liu, Y., Levy, S.J., Mau, W., Geva, N., Rubin, A., Ziv, Y., Hasselmo, M.E., and Howard, M.W. (2022). Consistent population activity on the scale of minutes in the mouse hippocampus. <i>Hippocampus<\/i>, <b>32<\/b>, 359-372. (<a href=\"https:\/\/www.biorxiv.org\/content\/10.1101\/2021.02.07.430172v1.abstract?%3Fcollection=\">bioRxiv<\/a>) (<a href=\"https:\/\/doi.org\/10.1002\/hipo.23409\">doi<\/a>)<\/li>\n<li>Goh, W.Z., Ursekar, V., and Howard, M.W. (2022). Predicting the future with a scale-invariant temporal memory for the past. <i>Neural Computation<\/i>, <b>34<\/b>, 642-685. (<a href=\"http:\/\/arxiv.org\/abs\/2101.10953\">arXiv<\/a>) (<a href=\"https:\/\/doi.org\/10.1162\/neco_a_01475\">doi<\/a>)<\/li>\n<li>Tiganj, Z., Tang, W., and Howard, M.W. (2021). A computational model for simulating the future using a memory timeline. <i>Proceedings of the Annual Meeting of the Cognitive Science Society<\/i>, <b>43<\/b>, 1173-1179. (<a href=\"https:\/\/escholarship.org\/content\/qt7m38h6c9\/qt7m38h6c9.pdf\">pdf<\/a>)<\/li>\n<li>Jacques, B., Tiganj, Z., Howard, M.W., and Sederberg, P.B. (2021). DeepSITH: Efficient learning via decomposition of what and when across time scales. <i>35th Conference on Neural Information Processing<\/i>, M. Ranzato, A. Beygelzimer, P.S. Liang, J.W. Vaughan and Y. Dauphin Eds. (<a href=\"https:\/\/papers.nips.cc\/paper\/2021\/file\/e7dfca01f394755c11f853602cb2608a-Paper.pdf\">pdf<\/a>) (<a href=\"https:\/\/arxiv.org\/abs\/2104.04646\">arXiv<\/a>) (<a href=\"https:\/\/github.com\/compmem\/DeepSITH\">github<\/a>)<\/li>\n<li>Sheehan, D.J., Charczynski, S., Fordyce, B.A., Hasselmo, M.E., and Howard, M.W. (2021). A compressed representation of spatial distance in the rodent hippocampus. (<a href=\"https:\/\/www.biorxiv.org\/content\/10.1101\/2021.02.15.431306v1\">bioRxiv<\/a>)<\/li>\n<li>Howard, M.W. (In press). Memory for time. <i> Oxford Handbook of Human Memory<\/i>. (<a href=\"\/tcn\/files\/2021\/05\/OxfordHandbook-Time-mwh-R2.pdf\">pdf<\/a>) (<a href=\"https:\/\/psyarxiv.com\/g7xqv\">PsyArXiv<\/a>)<\/li>\n<li>Sarkar, A., and Howard, M.W. (2021). Scale-dependent relationships in natural language. <i>Computational Brain &amp; Behavior.<\/i> <b>4<\/b>, 164-177. (<a href=\"https:\/\/arxiv.org\/abs\/1912.07506\">arXiv)<\/a> (<a href=\"https:\/\/doi.org\/10.1007\/s42113-020-00094-8\">doi<\/a>)<\/li>\n<li>Howard, M.W. and Hasselmo, M.E. (2020). Cognitive computation using neural representations of time and space in the Laplace domain. (<a href=\"\/tcn\/files\/2020\/04\/LaplaceReview-arXiv.pdf\">pdf<\/a>) (<a href=\"http:\/\/arxiv.org\/abs\/2003.11668\">arXiv<\/a>)<\/li>\n<li>Cruzado, N.A., Tiganj, Z., Brincat, S.L., Miller, E.K., and Howard, M.W. (2020).\u00a0Conjunctive representation of what and when in monkey hippocampus and lateral prefrontal cortex during an associative memory task. <i>Hippocampus<\/i>, <b>30<\/b>, 1332-1346. (<a href=\"https:\/\/www.biorxiv.org\/content\/10.1101\/709659v1\">bioRxiv<\/a>) (<a href=\"https:\/\/doi.org\/10.1002\/hipo.23282\">doi<\/a>)<\/li>\n<li>Bright, I.M.*, Meister, M.L.R.*, Cruzado, N.A., Tiganj, Z., Buffalo, E.A.*, and Howard, M.W.* (2020). A temporal record of the past with a spectrum of time constants in the monkey entorhinal cortex. <i>Proceedings of the National Academy of Science<\/i>, <b>117<\/b>, 20274-20283. (<a href=\"https:\/\/www.biorxiv.org\/content\/10.1101\/688341v3\">bioRxiv<\/a>) (<a href=\"https:\/\/doi.org\/10.1073\/pnas.1917197117\">doi<\/a>)<\/li>\n<li>Liu, Y., and Howard M.W. (2020). Generation of scale-invariant sequential activity in linear recurrent networks. <i>Neural Computation<\/i>, <b>32<\/b>, 1379-1407. (<a href=\"https:\/\/doi.org\/10.1162\/neco_a_01288\">doi<\/a>) (<a href=\"\/tcn\/files\/2020\/08\/Liu.pdf\">pdf<\/a>) (<a href=\"https:\/\/www.biorxiv.org\/content\/10.1101\/580522v1\">bioRxiv<\/a>)<\/li>\n<li>Babcock, S., Howard, M., and McGuire, J. (2020). Time-conjunctive representations of future events. <i>Memory &amp; Cognition<\/i>, <b>48<\/b>, 672-682. (<a href=\"https:\/\/psyarxiv.com\/kha98\/\">PsyArXiv<\/a>) (<a href=\"https:\/\/doi.org\/10.3758\/s13421-019-00999-1\">doi<\/a>)<\/li>\n<li>Bladon, J.H, Sheehan, D.J., De Freitas, C.S., and Howard, M.W. (2019). In a temporally segmented experience hippocampal neurons represent temporally drifting context but not discrete segments. <i>Journal of Neuroscience<\/i> <b>39,<\/b> 6936-6952. (<a href=\"https:\/\/doi.org\/10.1523\/JNEUROSCI.1420-18.2019\">doi<\/a>) (<a href=\"https:\/\/www.biorxiv.org\/content\/10.1101\/338962v2\">bioRxiv<\/a>)<\/li>\n<li>Tiganj, Z., Cruzado, N. and Howard, M.W. (2019). Towards a neural-level cognitive architecture: modeling behavior in working memory tasks with neurons.\u00a0<em>Proceedings of the 41st Annual Meeting of the Cognitive Science Society.<\/em> (<a href=\"\/tcn\/files\/2019\/05\/Cogsci2019_TiganjEtal.pdf\">pdf<\/a>)<\/li>\n<li>Toro-Serey, C., Bright, I.M., Wyble, B.P., and Howard, M.W. (2019). Rapid presentation rate negatively impacts the contiguity effect in free recall.\u00a0<em>Proceedings of the 41st Annual Meeting of the Cognitive Science Society.\u00a0<\/em>(<a href=\"\/tcn\/files\/2019\/05\/RSVP_FR.pdf\">pdf<\/a>) (<a href=\"https:\/\/psyarxiv.com\/qb5sx\/\">arXiv<\/a>)<\/li>\n<li>Tiganj, Z., Gershman, S.J., Sederberg, P.B. and Howard, M.W. (2019). Estimating scale-invariant future in continuous time. <i>Neural Computation<\/i>, <b>31<\/b>, 681-709. (<a href=\"https:\/\/arxiv.org\/abs\/1802.06426\">arXiv<\/a>) (<a href=\"https:\/\/arxiv.org\/pdf\/1802.06426.pdf\">pdf<\/a>) (<a href=\"https:\/\/www.mitpressjournals.org\/doi\/10.1162\/neco_a_01171\">doi<\/a>)<\/li>\n<li>Palombo, D.J.*, DiLascio, J.M.*, Howard, M.W., and Verfaellie, M. (2019). Medial temporal lobe amnesia is associated with a deficit in recovering temporal context. <em>Journal of Cognitive Neuroscience<\/em>, <b>31<\/b>, 236-248. (<a href=\"https:\/\/doi.org\/10.1162\/jocn_a_01344\">doi<\/a>) (<a href=\"https:\/\/psyarxiv.com\/xpe3q\/\">PsyArXiv<\/a>)<\/li>\n<li>Liu, Y., Tiganj, Z., Hasselmo, M.E., and Howard, M.W. (2019). A neural microcircuit model for a scalable scale-invariant representation of time. <i>Hippocampus<\/i> <b>29<\/b>, 260-274. (<a href=\"https:\/\/onlinelibrary.wiley.com\/doi\/abs\/10.1002\/hipo.22994\">doi<\/a>) (<a href=\"https:\/\/www.biorxiv.org\/content\/early\/2018\/05\/22\/327387?%3Fcollection=\">bioRxiv<\/a>)<\/li>\n<li>Momennejad, I., and Howard M.W. (2018). Predicting the future with multi-scale successor representations. <a href=\"https:\/\/www.biorxiv.org\/content\/early\/2018\/10\/22\/449470\">(bioRxiv)<\/a><\/li>\n<li>Howard, M.W., Luzardo, A., and Tiganj, Z. (2018). Evidence accumulation in a Laplace domain decision space. <i>Computational Brain &amp; Behavior<\/i>. <b>1<\/b>, 237-251. (<a href=\"https:\/\/doi.org\/10.1007\/s42113-018-0016-2\">doi<\/a>) (<a href=\"\/tcn\/files\/2021\/09\/Howard2018_Article_EvidenceAccumulationInALaplace.pdf\">pdf<\/a>) (<a href=\"https:\/\/arxiv.org\/abs\/1806.04122\">arXiv<\/a>)<\/li>\n<li>Singh, I.*, Tiganj, Z.*, and Howard, M.W. (2018). Is working memory stored along a logarithmic timeline? Converging evidence from neuroscience, behavior and models. <em>Neurobiology of Learning and Memory<\/em>. <b>153<\/b>, 104-110. <a href=\"https:\/\/doi.org\/10.1016\/j.nlm.2018.04.008\">(doi)<\/a> <a href=\"\/tcn\/files\/2018\/07\/NLM-SpecialIssue-published.pdf\">(pdf)<\/a><\/li>\n<li>Folkerts, S., Rutishauser, U., and Howard, M.W. (2018). Human episodic memory retrieval is accompanied by a neural contiguity effect. <i>Journal of Neuroscience<\/i> <b>38<\/b>, 4200-4211. <a href=\"https:\/\/doi.org\/10.1523\/JNEUROSCI.2312-17.2018\">(doi)<\/a> <a href=\"\/tcn\/files\/2018\/03\/JBIT-JNsci-R2.pdf\">(pdf)<\/a> <a href=\"http:\/\/www.biorxiv.org\/content\/early\/2017\/03\/15\/117010\">(bioRxiv)<\/a><\/li>\n<li>Tiganj, Z., Cromer, J.A., Roy, J.E., Miller, E.K., and Howard, M.W. (2018). Compressed timeline of recent experience in monkey lPFC. <i>Journal of Cognitive Neuroscience.<\/i> <b>30<\/b>, 935-950. <a href=\"https:\/\/doi.org\/10.1162\/jocn_a_01273\">(doi)<\/a> <a href=\"http:\/\/www.biorxiv.org\/content\/early\/2018\/01\/22\/126219\">(bioRxiv)<\/a><\/li>\n<li>Mau, W., Sullivan, D.W., Kinsky, N.R., Hasselmo, M.E., Howard, M.W., and Eichenbaum, H. (2018). The same hippocampal CA1 population simultaneously codes temporal information over multiple timescales. <i>Current Biology<\/i>, <b>18<\/b>, 1-10. <a href=\"https:\/\/doi.org\/10.1016\/j.cub.2018.03.051\">(doi)<\/a> <a href=\"https:\/\/www.cell.com\/current-biology\/fulltext\/S0960-9822(18)30411-1\">(commentary)<\/a> <a href=\"http:\/\/www.bu.edu\/hasselmo\/MauSullivanKinskyHasselmoHowardEichenbaum2018.pdf\">(pdf)<\/a><\/li>\n<li>Howard, M.W. (2018). Memory as perception of the past: Compressed time in mind and brain. <i>Trends in Cognitive Sciences<\/i>. <b>22<\/b>, 124-126. <a href=\"https:\/\/doi.org\/10.1016\/j.tics.2017.11.004\">(doi)<\/a><\/li>\n<li>Howard, M. W. and Shankar, K. H. (2018). Neural scaling laws for an uncertain world. <i>Psychological Review<\/i>. <b>125<\/b>, 47-58. <a href=\"http:\/\/psycnet.apa.org\/doi\/10.1037\/rev0000081\">(doi)<\/a> <a href=\"\/tcn\/files\/2017\/05\/WeberFechner-PsychRev-R2.pdf\">(pdf)<\/a> <a href=\"https:\/\/arxiv.org\/abs\/1607.04886\">(arXiv)<\/a><\/li>\n<li>Howard, M. W. (2017). Temporal and spatial context in the mind and brain. <i>Current Opinion in Behavioral Sciences<\/i>, <b>17<\/b>, 14-19. <a href=\"\/tcn\/files\/2017\/05\/TemporalSpatialContext-CurrOp-R.pdf\">(pdf)<\/a> <a href=\"https:\/\/doi.org\/10.1016\/j.cobeha.2017.05.022\">(doi)<\/a><\/li>\n<li>Spears, T.A., Jacques, B.G., Howard, M.W., and Sederberg, P.B. (2017). Scale-invariant temporal history (SITH): optimal slicing of the past in an uncertain world. <a href=\"https:\/\/arxiv.org\/abs\/1712.07165\">(arXiv)<\/a><\/li>\n<li>Singh, I., Oliva, A., and Howard, M.W. (2017). Visual memories are stored along a compressed timeline. (<a href=\"\/tcn\/files\/2017\/01\/LTS.pdf\">pdf<\/a>) <a href=\"http:\/\/www.biorxiv.org\/content\/early\/2017\/01\/18\/101295\">(bioRxiv)<\/a><\/li>\n<li>Tiganj, Z., Shankar, K.\u00a0H., and Howard M.\u00a0W. (2017). Scale invariant value computation for reinforcement learning in continuous time. <i>AAAI Spring Symposium Series &#8211; Science of Intelligence: Computational Principles of Natural and Artificial Intelligence.<\/i> (<a href=\"\/tcn\/files\/2017\/02\/scale-invariant-value-computation-for-RL-AAAI.pdf\">pdf<\/a>)<\/li>\n<li>Tiganj, Z., Kim, J., Jung, M.\u00a0W., and Howard M.\u00a0W. (2016). Sequential firing codes for time in rodent mPFC. <i>Cerebral Cortex.<\/i>, <b>27<\/b>, 5663-5671. (<a href=\"\/tcn\/files\/2016\/06\/TiganjEtal-PFCtimecells_rev.pdf\">pdf<\/a>)<\/li>\n<li>Shankar, K.\u00a0H., Singh, I., and Howard M.\u00a0W. (2016). Neural mechanism to simulate a scale-invariant future. <i>Neural Computation<\/i>, <b>28<\/b>, 2594\u20132627. (<a href=\"\/tcn\/files\/2016\/12\/ShankarSinghHoward-NECO16.pdf\">pdf<\/a>) (<a href=\"http:\/\/dx.doi.org\/10.1162\/NECO_a_00891\">doi<\/a>)<\/li>\n<li>Salz, D. M., Tiganj, Z.,\u00a0Khasnabish, S., Kohley, A., Sheehan, D., Howard, \u00a0M. W., and Eichenbaum, H. (2016).\u00a0Time cells in hippocampal area CA3. \u00a0<i>Journal of Neuroscience<\/i>.\u00a0<b>36<\/b>, 7476-7484. (<a href=\"\/tcn\/files\/2016\/07\/SalzEtal16.pdf\">pdf<\/a>)<br \/>\n<!--\n(<a href=\"http:\/\/dx.doi.org\/10.1523\/JNEUROSCI.0087-16.2016\">doi<\/a>)\n--><\/li>\n<li><il> Howard, M.\u00a0W., Shankar, K.\u00a0H., and Tiganj, Z. (2015). Efficient neural computation in the Laplace domain. \u00a0I<meta charset=\"utf-8\" \/><span>n Tarek R. Besold, Artur d&#8217;Avila Garcez, Gary F. Marcus, Risto Miikulainen (eds.): <\/span><i>Proceedings of the NIPS 2015 workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches.<\/i><span> Montreal, Canada, 2015. <\/span>(<a href=\"\/tcn\/files\/2015\/12\/WeberFechner-CoCoNIPS.pdf\">pdf<\/a>)<\/il><\/li>\n<li>Howard, M.W.\u00a0and Eichenbaum, H. (2015). Time and space in the hippocampus. <i>Brain Research<\/i>. <b>1621<\/b>, 345-354. (<a href=\"\/tcn\/files\/2015\/12\/HowardEichenbaum-BRes-2015.pdf\">pdf<\/a>)\u00a0(<a href=\"http:\/\/dx.doi.org\/10.1016\/j.brainres.2014.10.069\">doi<\/a>)<\/li>\n<li>Criss, A.H.\u00a0and Howard, M.W. (2015). Episodic memory. In <i>Oxford Handbook of Computational and Mathematical Psychology <\/i>J.R.\u00a0Busemeyer, J.T.\u00a0Townsend, Z.J.\u00a0Wang, and A.\u00a0Eidels (Eds.). Oxford University Press.<\/li>\n<li>Howard, M.W., Shankar, K.H., Aue, W.R., and Criss, A.H. (2015). A distributed representation of internal time, <i>Psychological Review<\/i>, <b>122<\/b>, 24-53. (<a href=\"\/tcn\/files\/2015\/12\/HowardEtal-PsychReview-2015.pdf\">pdf<\/a>)\u00a0(<a href=\"http:\/\/psycnet.apa.org\/doi\/10.1037\/a0037840\" title=\"doi\">doi<\/a>)<\/li>\n<li>Shankar, K.H. (2015). Generic construction of scale-invariantly coarse grained memory. <i>Australasian Conference on Artificial Life and Computational Intelligence 2015,<\/i> S.K. Chalup et al. (Eds.), <b>8955<\/b>, 175-184. (<a href=\"\/tcn\/files\/2015\/12\/Shankar15.pdf\">pdf<\/a>)<\/li>\n<li>Tiganj, Z., Hasselmo, M.E., and Howard, M.W. (2015). A simple biophysically plausible model for long time constants in single neurons, <i>Hippocampus<\/i>, <b>25<\/b>, 27-37. (<a href=\"\/tcn\/files\/2015\/12\/TiganjEtal-Hippocampus-2015.pdf\">pdf<\/a>)\u00a0<a href=\"http:\/\/dx.doi.org\/10.1002\/hipo.22347\">(doi)<\/a><\/li>\n<li>Howard, M.W., MacDonald, C.J., Tiganj, Z., Shankar, K.H., Du, Q., Hasselmo, M.E., and Eichenbaum, H. (2014). A unified mathematical framework for coding time, space, and sequences in the hippocampal region. <i>Journal of Neuroscience<\/i>, <b>34<\/b>, 4692-4707. (<a href=\"\/tcn\/files\/2015\/12\/HowardEtal14-JNsci1.pdf\">pdf<\/a>)<\/li>\n<li>Howard, M.W. (2014). Mathematical learning theory through time. <i>Journal of Mathematical Psychology<\/i>, <b>59<\/b>, 18-29. (<a href=\"\/tcn\/files\/2015\/12\/Howard-JMP-20141.pdf\">pdf<\/a>)\u00a0<a href=\"http:\/\/dx.doi.org\/10.1016\/j.jmp.2013.09.003\">(doi)<\/a><\/li>\n<li>Shankar, K.H.\u00a0and Howard, M.W. (2013). Optimally fuzzy scale-free memory, <i>Journal of Machine Learning Research<\/i>, <b>14<\/b>, 3753-3780. <a href=\"http:\/\/jmlr.org\/papers\/volume14\/shankar13a\/shankar13a.pdf\">(pdf)<\/a><\/li>\n<li>Howard, M.W.\u00a0and Eichenbaum, H. (2013). The hippocampus, time, and memory across scales. <i>Journal of Experimental Psychology: General<\/i>, <b>142<\/b>, 1211-1230. (<a href=\"\/tcn\/files\/2015\/12\/HowardEichenbaum-JEPG-20131.pdf\">pdf<\/a>)\u00a0<a href=\"https:\/\/psycnet.apa.org\/doi\/10.1037\/a0033621\">(doi)<\/a><\/li>\n<li>Shankar, K.H. (2013). Quantum random walks and decision making. <i>Topics in Cognitive Science<\/i>, <b>6<\/b>, 108-113. (<a href=\"\/tcn\/files\/2015\/12\/Shankar-TopiCS131.pdf\">pdf<\/a>)<\/li>\n<li>Komorowski, R.W., Garcia, C.G., Wilson, A., Hattori, S., Howard, M.W., and Eichenbaum, H. (2013). Ventral hippocampal neurons are shaped by experience to represent behaviorally relevant contexts. <i>Journal of Neuroscience<\/i>, <b>33<\/b>, 8079-8087. (<a href=\"\/tcn\/files\/2015\/12\/KomorowskiEtal13-JNsci.pdf\">pdf<\/a>)<\/li>\n<li>Kilic, A., Hoyer, W.J., and Howard, M.W. (2013). Effects of Spacing of Item Repetitions in Continuous Recognition Memory: Does Item Retrieval Difficulty Promote Item Retention in Older Adults? <i>Experimental Aging Research<\/i>, <b>39<\/b>, 322-341.<\/li>\n<li>Kilic, A., Criss, A.H., and Howard, M.W. (2013). A causal contiguity effect that persists across time scales. <i>Journal of Experimental Psychology: Learning, Memory and Cognition<\/i>, <b>39<\/b>, 297-303. (<a href=\"\/tcn\/files\/2015\/12\/KilicEtal-JEPLMC-2013.pdf\">pdf<\/a>)<\/li>\n<li>Howard, M.W., Viskontas, I.V., Shankar, K.H., and Fried, I. (2012). Ensembles of human MTL neurons &#8220;jump back in time&#8221; in response to a repeated stimulus. <i>Hippocampus<\/i>, <b>22<\/b>, 1833-1847. (<a href=\"\/tcn\/files\/2015\/12\/HowardEtal12-Hippocampus.pdf\">pdf<\/a>)<\/li>\n<li>Shankar, K.H., and Howard, M.W. (2012). A scale-invariant internal representation of time. <i>Neural Computation<\/i>, <b>24<\/b>, 134-193. (<a href=\"\/tcn\/files\/2015\/12\/ShankarHoward12-NeuralComp.pdf\">pdf<\/a>)<\/li>\n<li>Howard, M.W., Shankar, K.H., and Jagadisan, U.K.K. (2011). Constructing semantic representations from a gradually-changing representation of temporal context. <i>Topics in Cognitive Science<\/i>, <b>3<\/b>, 48-73. (<a href=\"\/tcn\/files\/2015\/12\/HowardEtal11-topiCS.pdf\">pdf<\/a>)\u00a0<a href=\"http:\/\/dx.doi.org\/10.1111\/j.1756-8765.2010.01112.x\">(doi)<\/a><\/li>\n<li>Shankar, K.H., and Howard, M.W. (2010). Timing using temporal context. <i>Brain Research<\/i>, <b>1365<\/b>, 3-17. <a href=\"http:\/\/dx.doi.org\/10.1016\/j.brainres.2010.07.045\">(doi)<\/a><\/li>\n<li>Sederberg, P.B., Miller, J.F., Howard, M.W., and Kahana, M.J. (2010). The temporal contiguity effect predicts episodic memory performance. <i>Memory &amp; Cognition<\/i>, <b>38<\/b>, 689-699.<a href=\"http:\/\/dx.doi.org\/10.3758\/MC.38.6.689\">(doi)<\/a><\/li>\n<li>Onyper, S.V., Zhang, Y., and Howard, M.W. (2010). Some-or-none recollection: Evidence from item and source memory. <i>Journal of Experimental Psychology: General<\/i>, <b>139<\/b>, 341-364. (<a href=\"\/tcn\/files\/2015\/12\/OnyperEtal10-JEPG.pdf\">pdf<\/a>)\u00a0<a href=\"http:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC2864935\/\">(PMC)<\/a><\/li>\n<li>Shankar, K.H., Jagadisan, U.K.K., and Howard, M.W. (2009). Sequential learning using temporal context. <i>Journal of Mathematical Psychology<\/i>, <b>53<\/b>, 474-485. (<a href=\"\/tcn\/files\/2015\/12\/ShankarEtal09-JMP.pdf\">pdf<\/a>)<\/li>\n<li>Howard, M.W., Sederberg, P.B., and Kahana, M. J.(2009). Reply to Farrell &amp; Lewandowsky: Recency-contiguity interactions predicted by the temporal context model. <i>Psychonomic Bulletin &amp; Review<\/i>, <b>16<\/b>, 973-984. <a href=\"http:\/\/dx.doi.org\/10.3758\/PBR.16.5.973\">(doi)<\/a><\/li>\n<li>Howard, M.W., Jing, B., Rao, V.A., Provyn, J.P., &amp; Datey, A.V. (2009). Bridging the gap: Transitive associations between items presented in similar temporal contexts. <i>Journal of Experimental Psychology: Learning, Memory &amp; Cognition<\/i>, <b>35<\/b>, 391-407. (<a href=\"\/tcn\/files\/2015\/12\/HowardEtal09-JEPLMC.pdf\">pdf<\/a>)<\/li>\n<li>Howard, M.W. (2009). Memory: Computational models. in L. R. Squire (Ed), <i>New Encyclopedia of Neuroscience<\/i>, volume 5, pp. 771-777. Oxford: Academic Press.<\/li>\n<li>Howard, M.W., Kahana, M.J., and Sederberg, P.B., (2008). Postscript: Distinguishing between temporal context and short-term store. <i>Psychological Review<\/i>, <b>115<\/b>, 1125-6.<\/li>\n<li>Kahana, M.J., Sederberg, P.B., and Howard, M.W. (2008). Putting short-term memory into context: Reply to Usher, Davelaar, Haarman and Goshen-Gottstein (2008). <i>Psychological Review<\/i>, <b>115<\/b>, 1119-1126.<\/li>\n<li>Sederberg, P.B., Howard, M.W., and Kahana, M.J. (2008). A context-based theory of recency and contiguity in free recall. <i>Psychological Review<\/i>, <b>115<\/b>, 893-912. (<a href=\"\/tcn\/files\/2015\/12\/SederbergEtal08-PsychRev.pdf\">pdf<\/a>)<\/li>\n<li>Rao, V. A. and Howard, M. W. (2008). Retrieved context and the discovery of semantic structure. <i>Advances in Neural Information Processing Systems 20<\/i>, J.C. Platt, D. Koller, Y. Singer and S. Roweis, Eds. MIT Press: Cambridge, MA. (<a href=\"\/tcn\/files\/2015\/12\/RaoHoward08-NIPS.pdf\">pdf<\/a>)<\/li>\n<li>Kahana, M.J., Howard, M.W., &amp; Polyn, S.M. (2008). Associative retrieval processes in episodic memory. In, H. L. Roediger, (Ed), <i>Learning and Memory-A Comprehensive Reference<\/i>, Academic Press, Oxford, pp. 467-490. (<a href=\"\/tcn\/files\/2015\/12\/KahanaEtal08-chapter.pdf\">pdf<\/a>)<\/li>\n<li>Howard, M.W., Youker, T.E., and Venkatadass, V. (2008). The persistence of memory: Contiguity effects across several hundred seconds. <i>Psychonomic Bulletin &amp; Review<\/i>, <b>15<\/b>, 58-63.(<a href=\"\/tcn\/files\/2015\/12\/HowardEtal08-PBR.pdf\">pdf<\/a>)<\/li>\n<li>Provyn, J.P., Sliwinski, M.J. &amp; Howard, M.W. (2007). Effects of age on contextually mediated associations in paired associate learning. <i>Psychology and Aging<\/i>, <b>22<\/b>, 846-857.<\/li>\n<li>Manns, J.R., Howard, M.W., &amp; Eichenbaum, H.B. (2007). Gradual changes in hippocampal activity support remembering the order of events, <i>Neuron<\/i>, <b>56<\/b>, 530-540. <a href=\"http:\/\/dx.doi.org\/10.1016\/j.neuron.2007.08.017\">(doi)<\/a><\/li>\n<li>Howard, M.W., Venkatadass, V., Norman, K.A., and Kahana, M.J. (2007). Associative processes in immediate recency. <i>Memory &amp; Cognition<\/i>, <b>35<\/b>, 1700-1711. (<a href=\"\/tcn\/files\/2015\/12\/HowardEtal07-MC.pdf\">pdf<\/a>)<\/li>\n<li>Howard, M.W., Addis, K.A., Jing, B., and Kahana, M.J. (2007), Semantic structure and episodic recall, in Landauer, McNamara, Dennis, &amp; Kintsch (Eds) <i>Handbook of Latent Semantic Analysis<\/i>, Laurence Erlbaum Associates: Mahwah, NJ, pp. 121-141.<\/li>\n<li>Siekmeier, P.J., Hasselmo, M.E., Howard, M.W., and Coyle, J.T. (2007). Modeling of context dependent retrieval in hippocampal region CA1: Implications for cognitive function in schizophrenia. <i>Schizophrenia Research<\/i>, <b>89<\/b>, 177-190. (<a href=\"\/tcn\/files\/2015\/12\/SiekmeierEtal07-SchizRes.pdf\">pdf<\/a>)<\/li>\n<li>Zaromb, F.M., Howard, M.W., Dolan, E.D., Sirotin, Y.B., Tully, M., Wingfield, A.and Kahana, M.J. (2006). Temporally-based false memories in free recall. <i>Journal of Experimental Psychology: Learning, Memory and Cognition<\/i>, <b>32<\/b>, 792-804.<\/li>\n<li>Howard, M.W., Wingfield, A.and Kahana, M.J. (2006). Aging and contextual binding: Modeling recency and lag-recency effects with the temporal context model, <i>Psychonomic Bulletin &amp; Review<\/i>, <b>13<\/b>, 439-445.<\/li>\n<li>Howard, M.W., Bessette-Symons, B.A., Zhang, Y., and Hoyer, W.J. (2006). Aging selectively impairs recollection in recognition memory for pictures: Evidence from modeling and ROC curves, <i>Psychology and Aging<\/i>, <b>21<\/b>, 96-106. (<a href=\"\/tcn\/files\/2015\/12\/HowardEtal06-PsychAging.pdf\">pdf<\/a>)<\/li>\n<li>Howard, M.W.,\u00a0 and Natu, V.S. (2005). Position from time: Spatial precision in the temporal context model, <i>Neural Networks<\/i>, <b>18<\/b>, 1150-1162. (<a href=\"\/tcn\/files\/2015\/12\/HowardNatu05-NeurNetw.pdf\">pdf<\/a>)<\/li>\n<li>Schwartz, G., Howard, M.W., Jing, B., and Kahana, M.J. (2005). Shadows of the past: Temporal retrieval effects in recognition memory, <i>Psychological Science<\/i>, <b>16<\/b>, 898-904. (<a href=\"\/tcn\/files\/2015\/12\/SchwartzEtal05-PsychSci.pdf\">pdf<\/a>)<\/li>\n<li>Kahana, M.J. and Howard, M.W. (2005). The spacing and lag effect in free recall, <i>Psychonomic Bulletin &amp; Review<\/i>, <b>12<\/b>, 159-164.<\/li>\n<li>Howard, M.W., Fotedar, M.S., Datey, A.V. and Hasselmo, M.E. (2005). The temporal context model in spatial navigation and relational learning: Toward a common explanation of medial temporal lobe function across domains, <i>Psychological Review<\/i>, <b>112<\/b>, 75-116. (<a href=\"\/tcn\/files\/2015\/12\/HowardEtal05-PsychReview.pdf\">pdf<\/a>)<\/li>\n<li>Howard, M.W. (2004). Scaling behavior in the temporal context model, <i>Journal of Mathematical Psychology<\/i>, <b>48<\/b>, 230-238. (<a href=\"\/tcn\/files\/2015\/12\/Howard04-JMP.pdf\">pdf<\/a>)<\/li>\n<li>Sederberg, P.B., Kahana, M.J., Howard, M.W., Donner, E., and Madsen, J.R. (2003). Theta and gamma oscillations during encoding predict subsequent recall, <i>Journal of Neuroscience<\/i>, <b>23<\/b>, 10809-14. (<a href=\"\/tcn\/files\/2015\/12\/SederbergEtal03-JNsci.pdf\">pdf<\/a>)<\/li>\n<li>Howard, M.W., Rizzuto, D.S., Madsen, J.R., Lisman, J.E., Aschenbrenner-Scheibe, R., Schulze-Bonhage, A., and Kahana, M.J. (2003). Gamma oscillations correlate with working memory load in humans, <i>Cerebral Cortex<\/i>, <b>13<\/b>, 1369-1374. (<a href=\"\/tcn\/files\/2015\/12\/SederbergEtal03-JNsci.pdf\">pdf<\/a>)<\/li>\n<li>Sherman, S.J., Atri, A., Hasselmo, M.E., Stern, C.E., and Howard, M.W. (2003). Scopolamine impairs human recognition memory: Data and modeling. <i>Behavioral Neuroscience<\/i>, <b>117<\/b>, 526-539. (<a href=\"\/tcn\/files\/2015\/12\/ShermanEtal03-BehNsci.pdf\">pdf<\/a>)<\/li>\n<li>Kahana, M.J., Howard, M.W., Zaromb, F.M., and Wingfield, A. (2002). Age dissociates recency and lag-recency effects in free recall. <i>Journal of Experimental Psychology: Learning, Memory and Cognition<\/i>, <b>28<\/b>, 530-540.<\/li>\n<li>Howard, M.W.\u00a0and Kahana, M.J. (2002). A distributed representation of temporal context. <i>Journal of Mathematical Psychology<\/i>, <b>46<\/b>, 269-299. (<a href=\"\/tcn\/files\/2015\/12\/HowardKahana02-JMP.pdf\">pdf<\/a>)\u00a0<a href=\"http:\/\/dx.doi.org\/10.1006\/jmps.2001.1388\">(doi)<\/a><\/li>\n<li>Howard, M.W.\u00a0 and Kahana, M.J. (2002). When does semantic similarity help episodic retrieval? <i>Journal of Memory and Language<\/i>, <b>46<\/b>, 85-98.<\/li>\n<li>Howard, M.W. and Kahana, M.J. (1999). Contextual variability and serial position effects in free recall. <i>Journal of Experimental Psychology: Learning, Memory and Cognition<\/i>, <b>25<\/b>, 923-941.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Sarkar, A., and Howard, M.W. (2026). Hierarchical temporal receptive windows and zero-shot timescale generalization in biologically constrained scale-invariant deep networks. (arXiv) Sarkar, A., Wang, C., Zuo, S., and Howard, M.W. (in press). &#8220;What&#8221; x &#8220;When&#8221; working memory representations using Laplace Neural Manifolds. eLife. (arXiv) Daniels, B.C., and Howard, M.W. (2025). Continuous attractor networks for Laplace [&hellip;]<\/p>\n","protected":false},"author":9217,"featured_media":0,"parent":0,"menu_order":6,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/sites.bu.edu\/tcn\/wp-json\/wp\/v2\/pages\/15"}],"collection":[{"href":"https:\/\/sites.bu.edu\/tcn\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.bu.edu\/tcn\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/tcn\/wp-json\/wp\/v2\/users\/9217"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/tcn\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":55,"href":"https:\/\/sites.bu.edu\/tcn\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":948,"href":"https:\/\/sites.bu.edu\/tcn\/wp-json\/wp\/v2\/pages\/15\/revisions\/948"}],"wp:attachment":[{"href":"https:\/\/sites.bu.edu\/tcn\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}