<p>(A) A standard feed-forward ANNs with one hidden layer (GrCs), where every input is available to all units in the hidden layer. (B) In contrast, in the spinocerebellar system, MF inputs to GrCs have a focal termination, where different functional types of MFs are connected to different sets of GrCs. In this arrangement it is possible for recombination of the sensorimotor inputs to take place already at the level of the SCT/SRCT units, while the recombination at the granule layer is restricted to the approximately four functionally similar MFs that innervate every GrC. In the biological system, the GrCs have only excitatory synapses upon the PCs, i.e. only positive weights. It is however possible to obtain inhibitory GrC to PC efficacies ...
Left panel: Schematic illustration of a canonical cortical neural network. The parameter Jαβ denotes...
The granular layer, the input stage of the cerebellar cortex, is an important target of EtOH that is...
An Artificial Neural Network ANN is a computational model that is inspired by the way biological neu...
<p>(A) Using the excitatory input directly from PF and the inhibitory pathway through molecular laye...
This schematic drawing shows the most relevant connections within a cerebellar module. The mossy fi...
<p>The post-synaptic potential of a neuron for a long time has been known to be a crosscorrela...
<p>A: Schematic diagram of the cerebellar-like structures in electric fish <a href="http://www.ploso...
The relatively simple and compact morphology of cerebellar granule cells (CGCs) has led to the view ...
<p>(A) Number of PBs emitted during SND experiments versus the label of the removed neuron. (B) Func...
ABSTRACT The post-synaptic potential of a neuron for a long time has been known to be a crosscorrel...
Eural Networks are a computational algorithm that uses layers of neurons with weighted edges connect...
The relatively simple and compact morphology of cerebellar granule cells (CGCs) has led to the view ...
<p>(A) The architecture of the model is composed of five populations of neurons. Three populations (...
The relatively simple and compact morphology of cerebellar granule cells (CGCs) has led to the view ...
The connectome is a wiring diagram mapping all the neural connections in the brain. At the cellular ...
Left panel: Schematic illustration of a canonical cortical neural network. The parameter Jαβ denotes...
The granular layer, the input stage of the cerebellar cortex, is an important target of EtOH that is...
An Artificial Neural Network ANN is a computational model that is inspired by the way biological neu...
<p>(A) Using the excitatory input directly from PF and the inhibitory pathway through molecular laye...
This schematic drawing shows the most relevant connections within a cerebellar module. The mossy fi...
<p>The post-synaptic potential of a neuron for a long time has been known to be a crosscorrela...
<p>A: Schematic diagram of the cerebellar-like structures in electric fish <a href="http://www.ploso...
The relatively simple and compact morphology of cerebellar granule cells (CGCs) has led to the view ...
<p>(A) Number of PBs emitted during SND experiments versus the label of the removed neuron. (B) Func...
ABSTRACT The post-synaptic potential of a neuron for a long time has been known to be a crosscorrel...
Eural Networks are a computational algorithm that uses layers of neurons with weighted edges connect...
The relatively simple and compact morphology of cerebellar granule cells (CGCs) has led to the view ...
<p>(A) The architecture of the model is composed of five populations of neurons. Three populations (...
The relatively simple and compact morphology of cerebellar granule cells (CGCs) has led to the view ...
The connectome is a wiring diagram mapping all the neural connections in the brain. At the cellular ...
Left panel: Schematic illustration of a canonical cortical neural network. The parameter Jαβ denotes...
The granular layer, the input stage of the cerebellar cortex, is an important target of EtOH that is...
An Artificial Neural Network ANN is a computational model that is inspired by the way biological neu...