AIMC Topic: Neurons
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STDP-based spiking deep convolutional neural networks for object recognition.
Neural networks : the official journal of the International Neural Network Society
Dec 23, 2017
Previous studies have shown that spike-timing-dependent plasticity (STDP) can be used in spiking neural networks (SNN) to extract visual features of low or intermediate complexity in an unsupervised manner. These studies, however, used relatively sha...
Cortical frequency-specific plasticity is independently induced by intracortical circuitry.
Neuroscience letters
Dec 21, 2017
Auditory learning induces frequency-specific plasticity in the auditory cortex. Both the auditory cortex and thalamus are involved in the cortical plasticity; however, the precise role of the intracortical circuity remains unclear until the contribut...
On the approximation by single hidden layer feedforward neural networks with fixed weights.
Neural networks : the official journal of the International Neural Network Society
Dec 18, 2017
Single hidden layer feedforward neural networks (SLFNs) with fixed weights possess the universal approximation property provided that approximated functions are univariate. But this phenomenon does not lay any restrictions on the number of neurons in...
Emergent coordination underlying learning to reach to grasp with a brain-machine interface.
Journal of neurophysiology
Dec 13, 2017
The development of coordinated reach-to-grasp movement has been well studied in infants and children. However, the role of motor cortex during this development is unclear because it is difficult to study in humans. We took the approach of using a bra...
Modeling spike-wave discharges by a complex network of neuronal oscillators.
Neural networks : the official journal of the International Neural Network Society
Dec 13, 2017
PURPOSE: The organization of neural networks and the mechanisms, which generate the highly stereotypical for absence epilepsy spike-wave discharges (SWDs) is heavily debated. Here we describe such a model which can both reproduce the characteristics ...
A cryptography-based approach for movement decoding.
Nature biomedical engineering
Dec 12, 2017
Brain decoders use neural recordings to infer the activity or intent of a user. To train a decoder, one generally needs to infer the measured variables of interest (covariates) from simultaneously measured neural activity. However, there are cases fo...
A loop-based neural architecture for structured behavior encoding and decoding.
Neural networks : the official journal of the International Neural Network Society
Dec 8, 2017
We present a new type of artificial neural network that generalizes on anatomical and dynamical aspects of the mammal brain. Its main novelty lies in its topological structure which is built as an array of interacting elementary motifs shaped like lo...
Nonlinear predictive control for adaptive adjustments of deep brain stimulation parameters in basal ganglia-thalamic network.
Neural networks : the official journal of the International Neural Network Society
Dec 7, 2017
The efficacy of deep brain stimulation (DBS) for Parkinson's disease (PD) depends in part on the post-operative programming of stimulation parameters. Closed-loop stimulation is one method to realize the frequent adjustment of stimulation parameters....
The Wisdom of Networks: A General Adaptation and Learning Mechanism of Complex Systems: The Network Core Triggers Fast Responses to Known Stimuli; Innovations Require the Slow Network Periphery and Are Encoded by Core-Remodeling.
BioEssays : news and reviews in molecular, cellular and developmental biology
Nov 23, 2017
I hypothesize that re-occurring prior experience of complex systems mobilizes a fast response, whose attractor is encoded by their strongly connected network core. In contrast, responses to novel stimuli are often slow and require the weakly connecte...
Statistics of Visual Responses to Image Object Stimuli from Primate AIT Neurons to DNN Neurons.
Neural computation
Nov 21, 2017
Under the goal-driven paradigm, Yamins et al. ( 2014 ; Yamins & DiCarlo, 2016 ) have shown that by optimizing only the final eight-way categorization performance of a four-layer hierarchical network, not only can its top output layer quantitatively p...
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