News

Dean’s Competitive Fund for Promising Scholarship

December 11, 2021
Our project, “Mechanisms and Functions of Representational Drift in the Brain,” will receive funding from the Dean’s Competitive Fund for Promising Scholarship! We are grateful for the support!

Postdoctoral Fellow in the Theory of Representation Learning in Artificial and Natural Systems

October 15, 2021

We have a postdoc position to work on representation learning in brains and machines! See official ad below. To apply please follow the instructions here: https://academicpositions.harvard.edu/postings/10730 .

----------

Postdoctoral Fellow in the Theory of Representation Learning in Artificial and Natural Systems 

The Harvard Theory of Machine Learning invites applications for a...

Read more about Postdoctoral Fellow in the Theory of Representation Learning in Artificial and Natural Systems

APMTH 226: Neural Computation (Fall 2021)

August 13, 2021

Cengiz and Jacob will be teaching APMTH 226: Neural Computation in the Fall.

This course introduces advanced mathematical methods and models used in theoretical neuroscience and theory of neural networks. We will explore computations and functions performed by the brain, and how they are implemented by neurons and their networks. We will cover selected topics from deep learning theory; spiking neuron models; population codes; normative theories of sensory representations; models of synaptic plasticity; computing with dynamics in recurrent neural networks; attractor network...

Read more about APMTH 226: Neural Computation (Fall 2021)