Christopher David Eliasmith

METHOD AND SYSTEM FOR DATA COMPRESSION USING STATE SPACE NEURAL NETWORKS

METHODS AND SYSTEMS FOR IMPLICIT ATTENTION WITH SUB-QUADRATIC COMPLEXITY INARTIFICIAL NEURAL NETWORKS

METHODS AND SYSTEMS FOR PARALLELIZING COMPUTATIONS IN RECURRENTLY CONNECTED ARTIFICIAL NEURAL NETWORKS

METHODS AND SYSTEMS FOR IMPLEMENTING DYNAMIC NEURAL NETWORKS

METHODS AND SYSTEMS FOR SIMULATING AND PREDICTING DYNAMICAL SYSTEMS WITH VECTOR-SYMBOLIC REPRESENTATIONS

METHODS AND SYSTEMS FOR SIMULATING DYNAMICAL SYSTEMS VIA SYNAPTIC DESCENT IN ARTIFICIAL NEURAL NETWORKS

Methods And Systems For Efficient Processing Of Recurrent Neural Networks

Methods and systems for storing and querying database entries with neuromorphic computers

Legendre memory units in recurrent neural networks

Methods and systems for encoding and processing vector-symbolic representations of continuous spaces

Digital circuits for evaluating neural engineering framework style neural networks

METHODS AND SYSTEMS FOR ENCODING AND PROCESSING SYMBOL STRUCTURES USING VECTOR-DERIVED TRANSFORMATION BINDING

Methods and systems for generating and traversing discourse graphs using artificial neural networks

Methods and systems for artificial cognition

Methods and systems for implementing dynamic neural networks

Methods and systems for performing reinforcement learning in hierarchical and temporally extended environments

Methods and systems for implementing deep spiking neural networks

Methods and systems for nonlinear adaptive control and filtering

Methods and systems for artificial cognition