thomasmiconi Goto Github PK

amabot

Code for training AMAbots ("Ask Me Anything" bots) that answer questions in the style of a specific person

basicv1

A simple model of V1 receptive field learning in 25 lines of Python

biologicallyplausiblelearningrnn

Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017

blocksworld

bohp

Backpropagation of Hebbian Plasticity

bohp_rnn

Backprop training of recurrent neural networks with Hebbian plastic connections

demo_app

diffrnn

RNN with differentiable structure (number of neurons)

evobugs

RNN-controlled agents freely evolving in a 2D world

fairnesspaper

frequency-encoder

gabugs

Evolving reinforcement learning in a foraging agent

hebbiancnnpytorch

Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients

htmresearch

Experimental algorithms. Unsupported.

htmresearch-core

Fork of nupic.core that also contains Numenta's experimental C++ research code. Please see nupic.research for more details.

learningtolearnbohp

Backpropagation training of neural networks with Hebbian plastic connections

learningtolearncogtasks

Code for the ICML 2023 paper "Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning"

meta-task-generator

Automatically generate simple meta-learning tasks from a very large space

metametalearning

Evolve plastic networks to be able to automatically acquire novel cognitive (meta-learning) tasks

nodeapp

nupic

Numenta Platform for Intelligent Computing: a brain-inspired machine intelligence platform, and biologically accurate neural network based on cortical learning algorithms.

rnn_previous

Training recurrent neural networks with sparse, delayed rewards.

sample_app

thomasmiconi.github.io

transitiveinference

Code for the preprint "An active neural mechanism for relational learning and fast knowledge reassembly"

v1stdp

Model of developing V1 from Miconi, McKinstry & Edelman, Nat. Comm. 2016

visualsearchmodel

Code and data for Miconi, Groomes & Kreiman, Cerebral Cortex 2015