These are papers I have published over the years on a variety of topics including decision-making and multisensory integration. My scholar page has all the numbers you want:

Independent Years

  1. Kleinman M, Chandrasekaran C, Kao JCY, A multi-stage recurrent neural network better describes decision-related activity in dorsal premotor cortex, Computational Cognitive Neuroscience, 2019 (link).
  2. Kleinman, M., Chandrasekaran, C., & Kao, J. C. (2019). Recurrent neural network models of multi-area computation underlying decision-makingbioRxiv, 798553.
  3. Chandrasekaran C, Hawkins G, CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks,  In press, see biorxiv paper (link) (Code and Software)
  4. Casas JP, Chandrasekaran C, openEyeTrack – A high speed multi-threaded eye tracker for head-fixed applications, Journal of Open Source Software, under Review.
  5. Chandrasekaran C, Blurton SP, Gondan MG, Audiovisual detection at different intensities and delays, Journal of Mathematical Psychology,91, 159-175, see biorxiv preprint (link).

Shenoy Era (Postdoctoral Fellow)

  1. Wang M, Montanede C, Chandrasekaran C, Peixoto D, Shenoy KV, Kalaska JF, Macaque dorsal premotor cortex exhibits decision-related activity only when specific stimulus-response associations are known., Nature Communications, 2019 (link)
  2. Chandrasekaran C, Bray IE, Shenoy KV, Frequency shifts and depth dependence of beta band activity in the dorsal premotor cortex during perceptual decision-making, Journal of Neuroscience, 2019 (link).
  3. Chandrasekaran C, Peixoto D, Newsome WT, Shenoy KV (2017), Laminar differences in decision-related neural activity in dorsal premotor cortex, Nature Communications 8, 614 (link).

In Review

  1. Chandrasekaran C, Soldado-Magraner J, Peixoto D, Newsome WT, Sahani M, Shenoy KV, Brittleness in model selection analysis of single neuron firing rates, under revision, see biorxiv preprint. (link).
  2. Peixoto D, Kiani R, Chandrasekaran C, Shenoy KV, Newsome WT, Population dynamics of choice representation in dorsal premotor and primary motor cortex, under review, see biorxiv preprint (link).

Ghazanfar Era

  1. Chandrasekaran C, Computational Models and Principles of Multisensory Integration, Review in Current Opinion in Neurobiology for special issue on Neurobiology of Learning and Plasticity, 43, 25-34 (2017). (link).
  2. Chandrasekaran C, Lemus L, Ghazanfar AA (2013), Dynamic faces speed up the onset of auditory cortical spiking responses during vocal detection, Proceedings of the National Academy of Sciences, 110 (48), E4668-E4677. (link).
  3. Chandrasekaran C, Lemus L, Trubanova A, Gondan M and Ghazanfar AA (2011), Monkeys and humans share a common computation for face/voice integration, PLoS Computational Biology, 7: e1002165.
  4. Chandrasekaran C, Turesson HK, Charles Brown, Ghazanfar AA (2010), The Influence of Natural Scene Dynamics on Auditory Cortical Activity, J Neurosci 30: 13919-13931.
  5. Ghazanfar AA, Chandrasekaran C, Morrill RJ (2009), Rhythmic Facial Expressions and the Superior Temporal Sulcus of Macaque Monkeys: Implications for the Evolution of Audiovisual Speech, European Journal of Neuroscience, 31: 1807-1817.
  6. Chandrasekaran C, Trubanova A, Stillittano S, Caplier A, Ghazanfar AA (2009), The Natural Statistics of Audiovisual Speech, PLoS Comput Biol 5(7): e1000436.
  7. Chandrasekaran C, Ghazanfar AA (2009), Different Neural Frequency Bands Integrate Faces & Voices Differently in the Superior Temporal Sulcus, J Neurophysiol, Feb 101(2): 773-788.
  8. Maier JX, Chandrasekaran C, Ghazanfar AA (2008), Integration of Bimodal Looming Signals through Neuronal Coherence in the Temporal Lobe, Current Biology, 18(13): 963-968.
  9. Ghazanfar AA, Chandrasekaran C, Logothetis NK (2008), Interactions between the Superior Temporal Sulcus and Auditory Cortex Mediate Dynamic Face/Voice Integration in Rhesus Monkeys, J Neurosci, 28: 4457-4469.


  1. O’Shea DJ, Kalanithi P, Ferenczi E, Hsueh B,  Chandrasekaran C, Goo W, Ramakrishnan C, Diester I, Kaufman MT, Yeom K, Deisseroth K, Shenoy KV (2018), Development of a new world primate model for rapid optogenetic neural circuit dissection, Scientific Reports, volume 8, Article number: 6775
  2. O’Shea DJ, Trautmann E, Chandrasekaran C, Stavisky SD, Kao JC, Sahani M, Ryu S, Shenoy KV (2017), The need for calcium imaging in nonhuman primates: new motor neuroscience and brain-machine interfaces, Experimental Neurology (review), 287, 437-451.
  3. Chandrasekaran, C, Turner L, Bulthoff HH & Thornton, IM (2010),  Attentional networks and biological motion, Psihologija, 43(1), 5-20.
  4. Chandrasekaran C, Canon V, Dahmen JC, Kourtzi Z, Welchman AE (2007), Neural Correlates of Disparity-Defined Shape Discrimination in the Human Brain, J Neurophysiol. Feb; 97(2): 1553-65.

Preview, Technical Reports and Book Chapters

  1. Ghazanfar AA, Chandrasekaran C, (2012), The Influence of Vision on Auditory Communication in Primates, In Neural Correlates of Auditory Cognition, Springer Handbook for Auditory Research (SHAR), Edited by Cohen YE, Popper AN, and Fay RR, Springer Press.
  2. Ghazanfar AA, Chandrasekaran C (2012), Non-human Primate Models of Audiovisual Communication, In The New Handbook of Multisensory Processes, Edited by Stein BE, MIT Press, Pages: 407-420.
  3. Chandrasekaran C, Ghazanfar AA (2012), Coding Across Sensory Modalities: Integrating the Dynamic Face With The Voice, In Principles of neural coding, edited by Quian Quiroga R & Panzeri S, Taylor & Francis Press.
  4. Chandrasekaran C, Ghazanfar AA (2011), When what you see is not what you hear, Nature Neuroscience, Jun;14(6):675-6.
  5. Ghazanfar AA, Chandrasekaran C (2007), Paving the Way Forward: Integrating the Senses through Phase-Resetting of Cortical Oscillations, Neuron, Jan 18;53(2): 162-4.
  6. Chandrasekaran C, Thornton IM, Bulthoff HH (2006), Selective Attention and Biological Motion, Max Planck Institute for Biological Cybernetics, Technical Report 139.