Neural networks are parallel and distributed information processing systems that are inspired and derived from biological learning systems such as human brains. The architecture of neural networks consists of a network of nonlinear information processing elements that are normally arranged in layers and exe...
E. Exploring and explaining properties of motion processing in biological brains using a neural network. J. Vis. 21, 11 (2021). PubMed PubMed Central Google Scholar Taylor, R. & Bays, P. M. Efficient Coding in Visual Working Memory Accounts for Stimulus-Specific Variations in Recall. J....
the cell type was identified by moving a hand around the animal and by delivering a flash of light41. The monitors were rotated around the crab to cover the receptive field of a neuron as estimated by the hand movements. The Faraday cage was completely covered with black block-out blinds ...
When Schwab and Mehta applied the deep belief net to a model of a magnet at its “critical point,” where the system is fractal, or self-similar at every scale, they found that the network automatically used the renormalization-like procedure to discover the model’s state. It was a ...
(a common technique known as virtual nodes) or by feeding the output of one node as input to another, a diverse parallel / series network can be created. Even in the limit of a single physical system with one readout per time step, overparameterisation can be achieved through a ...
Genetic mouse models are powerful translational tools for studying the role of those genes in the etiology of ASD.14,15,16,17Such mutations cause effects at various levels, from cell biology and morphology to electrophysiology and behavior. The network of PV+neurons was analyzed in many studies,...
11. We provide an atlas of these marks over organoid development and identify different modes of epigenetic regulation during fate restriction and neuronal specification. We integrate all modalities and explore dynamics over differentiation trajectories from pluripotency using gene regulatory network (GRN) ...
and the rates originating from these separate populations are combined into a single neural network (see Methods, Supplementary Note4and Supplementary Fig.5). In this way, by using several populations as inputs and outputs, multi-input multi-output computations, and therefore transformations in sever...
Genes encoding cell-surface proteins control nervous system development and are implicated in neurological disorders. These genes produce alternative mRNA isoforms which remain poorly characterized, impeding understanding of how disease-associated mutati
Genetic mouse models are powerful translational tools for studying the role of those genes in the etiology of ASD.14,15,16,17Such mutations cause effects at various levels, from cell biology and morphology to electrophysiology and behavior. The network of PV+neurons was analyzed in many studies,...