#computationalneuroscience — Public Fediverse posts

Our psychology department is hiring:

Tenure-Track Assistant Professor

Computational Approaches to Perception and/or Cognition

Job Opening ID 375565

Department of Psychology
University of Minnesota

The 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.

https://hr.myu.umn.edu/jobs/ext/375565

The Twin Cities are a fantastic place! Come join the amazing neuroscience community here at the University of Minnesota!

#AcademicJobs #neuroscience #computationalneuroscience

When an animal moves, its visual system adjusts its neuronal activity to process the changing environmental input, but this adjustment operates on the same mathematical evolutionary principles across both mice and primates despite differing sensory outputs.
#Neurobiology #ComputationalNeuroscience #EvolutionaryBiology #sflorg
https://www.sflorg.com/2026/08/ns08312601.html

Spike-timing-dependent #plasticity (#STDP) is a core rule in #ComputationalNeuroscience that adjusts #synaptic strength based on precise pre- vs. postsynaptic #spike timing, enabling #TemporalCoding and #learning in #SNN. In this post, I summarize its mathematical formulation, functional consequences for learning and #memory along with a simple #Python example:

🌍 https://www.fabriziomusacchio.com/blog/2026-02-12-stdp/

#CompNeuro #Neuroscience #SNN #NeuralDynamics #NeuralPlasticity

#NeuralPlasticity & #learning are distinct but interrelated processes. #Plasticity denotes biological change in #NeuralSystems, while learning is its functional expression in #NetworkDynamics & #behavior. Learning arises from coordinated plastic processes, reshaping #NeuralStateSpace & #attractors to support stable yet flexible representations. Here's a new post on these concepts & their implications for #ComputationalNeuroscience:

🌍https://www.fabriziomusacchio.com/blog/2026-02-02-neural_plasticity_and_learning/

#CompNeuro #Neuroscience