Neural networksare parallel and distributedinformation processing systemsthat are inspired and derived from biologicallearning systemssuch as human brains. The architecture of neural networks consists of a network of nonlinear information processing elements that are normally arranged in layers and executed in...
& Roy, K. Proposal for an all-spin artificial neural network: emulating neural and synaptic functionalities through domain wall motion in ferromagnets. IEEE Trans. Biomed. Circuits Syst. 10, 1152–1160 (2016). Article Google Scholar Liu, Q. et al. 33.2 a fully integrated analog ReRAM ...
Complex biomolecular circuits enabled cells with intelligent behaviour to survive before neural brains evolved. Since DNA computing was first demonstrated in the mid-1990s, synthetic DNA circuits in liquid phase have been developed as computational hardware to perform neural network-like computations that ...
Selective attention, the ability to focus on a specific stimulus and suppress distractions, plays a fundamental role for animals in many contexts, such as mating, feeding, and predation. Within natural environments, animals are often confronted with mult
To investigate the regulation of neurogenesis using this network, we extracted a subnetwork containing all neuronal genes (from clustering analysis described above) as well as transcription factors shared by at least three of these genes. For the regulatory regions in this network, we evaluated the ...
These ‘dead’ neurons tend to cause lots of problems, since their “always-on” or “always off” signal tends to propagate through the network very strongly, causing later neurons in the chain to also exhibit less sensitivity to input. (Sometimes this process will cascade, sometimes not,...
Comparing the brains representation of shape to that of a deep convolutional neural network Hierarchical neural nets are currently the highest performing general purpose image recognition computer algorithms. Their design is loosely inspired by th... D Pospisil,A Pasupathy,W Bair - ICST (Institute ...
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....
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...
At the whole-brain level, under PLC treatment the caress touch stimulus, compared with the close physical proximity control condition, produced widespread activations in the social touch-processing network (Gazzola et al, 2012; Gordon et al, 2013; Lindgren et al, 2012; Lovero et al, 2009; Mc...