Recurrence Is Required To Capture The Representational Dynamics Of The Human Visual System

Recurrence is required to capture the representational dynamics of the human visual system

Columbia University's Zuckerman Institute

It's about time. Modelling human visual inference with deep recurrent neural networks.

A New Framework for Modeling Brain Information Processing - Nikolaus Kriegeskorte

What is a neural representation? (Romain Brette)

Mathematical Consciousness Science

Dr Yalda Mohsenzadeh - The role of brain recurrent processes in visual recognition

MAIN Conference

Yalda Mohsenzadeh (Western) - Bridging the spatiotemporal neural dynamics of recurrent processes...

Vector Institute

Nikolaus Kriegeskorte - Deep neural networks: a new framework for modelling brain information [2016]

INCF

Neural representations of faces, bodies, and objects in ventral temporal cortex

But what is a neural network? | Chapter 1, Deep learning

The brain's representation | Representational similarity analysis, Second-order Isomorphism,

RSA Overview

Niko Kriegeskorte - Letting mental models emerge

Feedforward and feedback processes in visual recognition

Tim Kietzmann: Recurrence as a key ingredient for understanding robust human object recognition

Hirak Jyoti Kashyap

Recurrent Computations in Cortex

Attention Mechanisms: Focusing on What Matters in Neural Networks

GPT5

Talk: Representation learning for neural population activity with Neural Data Transformers

Neuromatch Conference

Triangulating Intelligence, Session 1: Matthew Botvinick, Dan Yamins, and Chelsea Finn

CVR seminar Nikolaus Kriegeskorte 12042020

Centre for Vision Research