Research Topics
| Anitha PasupathySummaryAffiliation: Massachusetts Institute of Technology Country: USA Publications
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Publications
Different time courses of learning-related activity in the prefrontal cortex and striatumAnitha Pasupathy
The Picower Center for Learning and Memory, RIKEN MIT Neuroscience Research Center and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 USA
Nature 433:873-6. 2005..These results support the hypothesis that rewarded associations are first identified by the basal ganglia, the output of which 'trains' slower learning mechanisms in the frontal cortex...- Neural basis of shape representation in the primate brainAnitha Pasupathy
The Picower Institute for Learning and Memory, RIKEN MIT Neuroscience Research Center and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Prog Brain Res 154:293-313. 2006..These findings identify curvature as a basis of shape representation in area V4 and provide insights into the neurophysiological basis for the salience of convex curves in shape perception... - Learning substrates in the primate prefrontal cortex and striatum: sustained activity related to successful actionsMark H Histed
The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Neuron 63:244-53. 2009..These long-lasting signals about trial outcome provide a way to link one action to the next and may allow reward signals to be combined over time to implement successful learning... - Population coding of shape in area V4Anitha Pasupathy
Center for Learning and Memory and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
Nat Neurosci 5:1332-8. 2002..This exemplifies how a multi-peaked neural population response can represent a complex stimulus in terms of its constituent elements... - A model of V4 shape selectivity and invarianceCharles Cadieu
Center for Biological and Computational Learning, McGovern Institute, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
J Neurophysiol 98:1733-50. 2007..This work provides a quantitative model of the widely described shape selectivity and invariance properties of area V4 and points toward a possible canonical mechanism operating throughout the ventral pathway... - Transformation of shape information in the ventral pathwayCharles E Connor
Krieger Mind Brain Institute, Department of Neuroscience, Johns Hopkins University, Baltimore, MD, USA
Curr Opin Neurobiol 17:140-7. 2007..These coding principles could help to explain our remarkable ability to perceive, distinguish, remember and understand a virtual infinity of objects... - Neurodynamics of the prefrontal cortex during conditional visuomotor associationsMarco Loh
Universitat Pompeu Fabra, Passeig de Circumval lació 8, Barcelona, Spain
J Cogn Neurosci 20:421-31. 2008..We find that a linear change in network parameters relates to the changes in neural activity in consecutive correct trials during learning, which is important evidence for the underlying learning mechanisms...