Science Daily11d
Synchronization in neural nets: Mathematical insight into neuron readout drives significant improvements in prediction accuracy
Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...
Nature27d
Spiking activity propagation in neuronal networks: reconciling different perspectives on neural coding
One of the central problems in neuroscience is the characterization and understanding of the neural code ... individual neurons and the structure of feedforward networks can amplify even weak ...
News Medical1mon
Groundbreaking brain atlas sheds light on neural pathways for movement
The findings were published today in Neuron. We have known for ... to make accurate predictions about the network that connects different brain structures to the spinal cord and the interneurons ...
Hosted on MSN11mon
Exploring the use of silicon microresonators for artificial neural networks
More information: Stefano Biasi et al, Photonic Neural Networks Based on Integrated Silicon Microresonators, Intelligent Computing (2023). DOI: 10.34133/icomputing.0067 Provided by Intelligent ...
EurekAlert!20d
From light sensing to adaptive learning: Reconfigurable memcapacitive devices in neuromorphic computing
Researchers at KAUST, Saudi Arabia, have made significant strides in neuromorphic computing by developing a reconfigurable ...
Tech Xplore on MSN12d
Mathematical insight into neuron readout drives significant improvements in neural net prediction accuracy
Reservoir computing (RC) is a powerful machine learning module designed to handle tasks involving time-based or sequential ...