The findings provide a new perspective on how granule cells in the cerebellum help to generalize across tasks.

Attention prioritizes relevant information from the environment, but does not do so consistently over time. Instead, we sometimes experience poor attentional states which are characterized by a higher...

Multiple learning processes contribute to successful goal-directed actions under changing physiological states, biomechanical constraints, and environmental contexts. Among these, explicit strategies ...

Submit a PosterSubmit a Symposium(opens in new tab) CNS 2027 Annual Meeting – March 20 – 23, 2027 We invite you to join us at the Cognitive Neuroscience Society (CNS) 2027 Annual Meeting, March 20 – 2...

Cognitive flexibility allows us to adjust behavior when environmental rules change and to recombine prior knowledge in novel situations. However, the …

Simultaneous imaging of premotor cortex and cerebellar granule cells in mice learning two skills in parallel shows that trajectories generalize in cortex but coherently reorient apart in granule cells...

Duties & Responsibilities

Every movement unfolds with a simple question: Where is my body? The nervous system answers through proprioception - the sense of limb position (static position sense) and movement (dynamic propriocep...

Tenure-Track Assistant Professor, Computational Approaches to Perception and/or CognitionDepartment of PsychologyUniversity of Minnesota, College of Liberal ArtsThe Department of Psychology at the University of Minnesota-Twin Cities announces a search for an outstanding scholar to fill a tenure-track assistant professor position focused on computational approaches to perception and/or cognition. This full-time position in the Department’s Cognitive and Brain Sciences (CAB) Training Program will begin in Fall 2027.Applications are invited from researchers who would extend or complement our historic strengths in combining experimental and computational approaches to perception and cognition. Examples of desired research topics include, but are not limited to, computational approaches in human and/or non-human animal models to study perceptual function and sensory loss, learning, motivation, emotion, and/or higher cognition. While we expect the primary appointment to be in our CAB area, there is  potential for cross-affiliation with other departmental areas.The appointment will be 100%-time over the nine-month academic year (late-August to late-May) and will be made at the rank of tenure-track assistant professor, depending on qualifications and experience and consistent with collegiate and University policy. Salary and start-up packages are competitive. The successful applicant should have and is expected to maintain a strong research program, advise graduate students from a variety of different backgrounds, and teach undergraduate and graduate courses, including core courses within the graduate training program. A strong record of teaching and mentorship is desired. The individual will also be expected to contribute to the service needs of the department, college, university, and profession.A successful candidate's application will demonstrate scholarly distinction, a record of publications, teaching commitment and, if applicable to the research program and the candidate’s career stage, evidence of success in securing and/or pursuing extramural funding.Applicants are invited to review the Workload Principles and Guidelines for Regular Faculty in the College of Liberal Arts, as well as the Standards for Promotion and Tenure in the Department of Psychology.

Ticklishness is a familiar but poorly understood experience. Xiong and Kilteni show that ticklishness is culturally shared and follows a distinct bodily topography. They evaluate different theories on...

Neurons in the brain are often many synapses away from motoneurons, yet if a movement results in error, each distant neuron needs a teacher that considers its specific contribution to production of th...

Learning the value of environmental stimuli from reward experience allows animals to make advantageous choices. Existing biological accounts of reinforcement learning (RL) often assume that this value is represented as a single, motor-system-invariant neural signal. Here we recorded neuronal activity across eight nodes of the macaque cortico-basal ganglia system — from limbic to neocortical regions — while monkeys learned stimulus-reward associations using either saccades or reaches as the required motor response. The geometry of population activity revealed largely distinct value-coding dimensions for saccades and reaches, including in limbic regions typically associated with motor-system-invariant value coding. Consequently, value information was substantially reduced when read out across motor systems. These results provide circuit-wide evidence that challenges existing neural implementations of RL. They link biological accounts of value learning to embodied frameworks in cognitive science and artificial intelligence, in which behavior is grounded in an agent’s physical structure rather than abstracted from it. ### Competing Interest Statement The authors have declared no competing interest. Custom code used to generate the results reported in this study is publicly available at <https://github.com/GiarroccoFranco/Cortico-BasalGanglia>. The data supporting the findings of this study will be made publicly available in a suitable repository upon publication. Prior to publication, the data are available from the corresponding authors upon request. NIH, ZIAMH002928

Postdoctoral Researcher, Control Policies in the Primate Motor Circuit Pruszynski Lab @ Sensorimotor Superlab​ The Pruszynski Laboratory at Western University is seeking a postdoctoral researcher to j...

Sunday, July 26, 2026 at 4:00 PM EDT Wayne Hancock Since his stunning debut, Thunderstorms and Neon Signs in 1995, Wayne “The Train” Hancock has been the undisputed king of Juke Joint Swing–that a...

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