<p>Each layer is depicted as a grid of cells (dimensions do not correspond to actual layer sizes) and all connections are showed. Parallel or converging connections represent topographic connectivity without or with dimensionality reduction; overlapping connections represent random connectivity. Subsystems consisting of multiple neural layers are grouped with dashed lines; four modules have been designed: a shape categorization module, a motion detection module, an attention module and a decision module. All hard-wired synaptic connections are black, and STDP learned connections are colored (red: unsupervised learning; green: supervised learning).</p
Carbon nanotubes are often seen as the only alternative technology to silicon transistors. While the...
This network extends Fig 10 by (a) replacing “inh” with a population of detailed inhibitory interneu...
(A) Network structure emerging after learning 2 training stimuli. The modeled neuronal populations a...
Thesis (Ph.D.)--University of Washington, 2022All human and animal behavior from seeing, hearing, ru...
A multilayer neural network has been developed that consists of slabs of single neuron models. Each ...
<p>(<b>A</b>) Schematic diagram of the neural network. Each red (blue) circle represents an auditory...
<div><p>Excitatory and inhibitory neurons (represented by green and red dots, respectively) are arra...
This paper specifies the main features of Brain-like, Neuronal, and Connectionist models; argues for...
In the modern era of machine learning and artificial intelligence, artificial neural networks are wi...
Neural networks, here, mean mathematical models of biological neural networks composed of neurons. T...
To investigate the relations between structure and function in both artificial and natural neural ne...
A. Subset of neural connections prior to STDP learning procedure. Higher-layer connections (layers 2...
<p>The input layer contains 2D-maps of feature selective units (corresponding to representations in ...
2019-04-26In this thesis two biologically inspired projects are designed and implemented in the fiel...
We have developed a method to organize cells in dissociated cultures using engineered chemical clues...
Carbon nanotubes are often seen as the only alternative technology to silicon transistors. While the...
This network extends Fig 10 by (a) replacing “inh” with a population of detailed inhibitory interneu...
(A) Network structure emerging after learning 2 training stimuli. The modeled neuronal populations a...
Thesis (Ph.D.)--University of Washington, 2022All human and animal behavior from seeing, hearing, ru...
A multilayer neural network has been developed that consists of slabs of single neuron models. Each ...
<p>(<b>A</b>) Schematic diagram of the neural network. Each red (blue) circle represents an auditory...
<div><p>Excitatory and inhibitory neurons (represented by green and red dots, respectively) are arra...
This paper specifies the main features of Brain-like, Neuronal, and Connectionist models; argues for...
In the modern era of machine learning and artificial intelligence, artificial neural networks are wi...
Neural networks, here, mean mathematical models of biological neural networks composed of neurons. T...
To investigate the relations between structure and function in both artificial and natural neural ne...
A. Subset of neural connections prior to STDP learning procedure. Higher-layer connections (layers 2...
<p>The input layer contains 2D-maps of feature selective units (corresponding to representations in ...
2019-04-26In this thesis two biologically inspired projects are designed and implemented in the fiel...
We have developed a method to organize cells in dissociated cultures using engineered chemical clues...
Carbon nanotubes are often seen as the only alternative technology to silicon transistors. While the...
This network extends Fig 10 by (a) replacing “inh” with a population of detailed inhibitory interneu...
(A) Network structure emerging after learning 2 training stimuli. The modeled neuronal populations a...