Publication

Cortical Columns, Models of

Related publications (34)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Cortical Columns, Models of

Graph Chatbot

Chat with Graph Search

Real-time, low-latency closed-loop feedback using markerless posture tracking

Real-time, low-latency closed-loop feedback using markerless posture tracking

Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs

Artificial Neural Network Approach to the Analytic Continuation Problem

Experimental Demonstration of Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses

Learning Continuous Muscle Control for a Multi-joint Arm by Extending Proximal Policy Optimization with a Liquid State Machine

Neural adaptation accounts for the dynamic resizing of peripersonal space: evidence from a psychophysical-computational approach

Slow dynamics in structured neural network models

Neural assemblies as core elements for modeling neural networks in the brain

Learning Robot Gait Stability using Neural Networks as Sensory Feedback Function for Central Pattern Generators

Real-time, low-latency closed-loop feedback using markerless posture tracking

Real-time, low-latency closed-loop feedback using markerless posture tracking

Artificial Neural Network Approach to the Analytic Continuation Problem

Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs

Learning Continuous Muscle Control for a Multi-joint Arm by Extending Proximal Policy Optimization with a Liquid State Machine

Neural adaptation accounts for the dynamic resizing of peripersonal space: evidence from a psychophysical-computational approach

Experimental Demonstration of Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses

Slow dynamics in structured neural network models

Neural assemblies as core elements for modeling neural networks in the brain

Learning Robot Gait Stability using Neural Networks as Sensory Feedback Function for Central Pattern Generators