Targeted cortical stimulation reveals principles of cortical contextual interactions

Kavli Affiliate: Kenneth Miller | Authors: Shen Wang, Agostina Palmigiano, Kenneth D Miller and Stephen David Van Hooser | Summary: Cross-orientation suppression is a classic form of contextual normalization in visual cortex, yet the degree to which cortical circuits participate in the normalization computation is unclear. We visualized orientation maps of individual ferrets, and provided […]


Continue.. Targeted cortical stimulation reveals principles of cortical contextual interactions

An Internal Model of Sensorimotor Context in Freely Swimming Electric Fish

Kavli Affiliate: Nathaniel Sawtell | Authors: Avner Wallach and Nathaniel B Sawtell | Summary: Nervous systems are hypothesized to learn and store internal models that predict the sensory consequences of motor actions. However, little is known about the neural mechanisms for generating accurate predictions under real-world conditions in which the sensory consequences of action depend […]


Continue.. An Internal Model of Sensorimotor Context in Freely Swimming Electric Fish

Motor cortical influence relies on task-specific activity covariation

Kavli Affiliate: Costa, Rui | Authors: Claire L Warriner, Samaher Fageiry, Shreya Saxena, Rui M Costa and Andrew Miri | Summary: During limb movement, spinal circuits facilitate the alternating activation of antagonistic flexor and extensor muscles. Yet antagonist cocontraction is often required to stabilize joints, like when loads are handled. Previous results suggest that these […]


Continue.. Motor cortical influence relies on task-specific activity covariation

Reconstructing the cascade of language processing in the brain using the internal computations of a transformer-based language model

Kavli Affiliate: Robert Hawkins | Authors: Sreejan Kumar, Theodore R. Sumers, Takateru Yamakoshi, Ariel Goldstein, Uri Hasson, Kenneth A. Norman, Thomas L. Griffiths, Robert D. Hawkins and Samuel A. Nastase | Summary: Piecing together the meaning of a narrative requires understanding not only the individual words but also the intricate relationships between them. How does […]


Continue.. Reconstructing the cascade of language processing in the brain using the internal computations of a transformer-based language model

Recording large-scale, cellular-resolution neuronal activity from freely-moving mice

Kavli Affiliate: Aniruddha Das | Authors: Aniruddha Das, Sarah Holden, Julie Borovicka, Jacob Icardi, Davina Patel, Rushik Patel, Jacob Raber and Hod Dana | Summary: To date, recording of cellular-resolution activity from awake mice has required either head fixation under a microscope or attaching a miniaturized device to the skull, both of which inevitably affect […]


Continue.. Recording large-scale, cellular-resolution neuronal activity from freely-moving mice

The role of the cerebellum in learning to predict reward: evidence from cerebellar ataxia

Kavli Affiliate: Daphna Shohamy | Authors: Jonathan Nicholas, Christian Amlang, Chi-Ying Lin, Leila Montaser-Kouhsari, Natasha Desai, Ming-Kai Pan, Sheng-Han Kuo and Daphna Shohamy | Summary: Recent findings in animals have challenged the traditional view of the cerebellum solely as the site of motor control, suggesting that the cerebellum may also be important for learning to […]


Continue.. The role of the cerebellum in learning to predict reward: evidence from cerebellar ataxia

Unifying model for three forms of contextual modulation including feedback input from higher visual areas

Kavli Affiliate: Kenneth Miller | Authors: Serena Di santo, Mario Dipoppa, Andreas Keller, Morgane Roth, Massimo Scanziani and Kenneth D Miller | Summary: Neural responses to a localized visual stimulus are modulated by the content of its surrounding. This phenomenon manifests in several forms of contextual modulation, including three interrelated properties of the visual cortex: […]


Continue.. Unifying model for three forms of contextual modulation including feedback input from higher visual areas

Neural learning rules for generating flexible predictions and computing the successor representation

Kavli Affiliate: Larry Abbott | Authors: Ching Fang, Dmitriy Aronov, Larry F Abbott and Emily Mackevicius | Summary: The predictive nature of the hippocampus is thought to be useful for memory-guided cognitive behaviors. Inspired by the reinforcement learning literature, this notion has been formalized as a predictive map called the successor representation (SR). The SR […]


Continue.. Neural learning rules for generating flexible predictions and computing the successor representation

Abstract representations emerge naturally in neural networks trained to perform multiple tasks

Kavli Affiliate: Stefano Fusi | Authors: W. Jeffrey Johnston and Stefano Fusi | Summary: Humans and other animals demonstrate a remarkable ability to generalize knowledge across distinct contexts and objects during natural behavior. We posit that this ability to generalize arises from a specific representational geometry, that we call abstract and that is referred to […]


Continue.. Abstract representations emerge naturally in neural networks trained to perform multiple tasks

A neural mechanism for terminating decisions

Kavli Affiliate: Michael Shadlen | Authors: Gabriel M Stine, Eric M Trautmann, Danique Jeurissen and Michael N Shadlen | Summary: The brain makes decisions by accumulating evidence until there is enough to stop and choose. Neural mechanisms of evidence accumulation are well established in association cortex, but the site and mechanism of termination is unknown. […]


Continue.. A neural mechanism for terminating decisions