Results 121 to 130 of about 297,450 (276)
Integrating model development across computational neuroscience, cognitive science, and machine learning. [PDF]
Neuron, 2023 Gleeson P +6 more
europepmc +1 more source
Advanced Science, EarlyView.This study demonstrates multimodal integration in non‐human primates, combining large‐scale, high‐density electrophysiology using Smart Dura with optical techniques such as multiphoton imaging (MPI), photothrombotic lesioning, optical coherence tomography angiography (OCTA), wide‐field intrinsic signal optical imaging (ISOI), and optogenetics.
Nari Hong +10 more
wiley +1 more source
Advanced Science, EarlyView.Geometry and connectivity are complementary structures, which have demonstrated their ability to represent the brain's functional activity. This study evaluates geometric and connectome eigenmodes as biologically informed constraints for EEG source localization.
Pok Him Siu +6 more
wiley +1 more source
Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain
Advanced Science, EarlyView.A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio +3 more
wiley +1 more source
Advanced Science, EarlyView.A transfer‐free fabrication method enables multilayer graphene microelectrodes as small as 10 µm, eliminating reliability issues of manual graphene transfer. These electrodes record neural activity in brain slices with exceptional signal‐to‐noise ratios (up to 25–40 dB) while maintaining optical transparency for multimodal applications.
Nerea de Alvarez de Eulate +7 more
wiley +1 more source
Constraining the many-worlds interpretation of computational neuroscience with neurophotonics: a conversation with Gaute Einevoll. [PDF]
Neurophotonics, 2023 Devor A.
europepmc +1 more source
Decoding Naturalistic Episodic Memory with Artificial Intelligence and Brain‐Machine Interface
Advanced Science, EarlyView.Episodic memory weaves together what, where, and when of experience into a personal narrative. Cutting‐edge AI models may decode this intricate process in real‐life settings, revealing how neural activity encodes naturalistic memories. By merging AI with brain–machine interfaces, researchers are edging closer to mapping and even engineering memory ...
Dong Song
wiley +1 more source
Remembering Hirsh Cohen and His Role in Developing Computational Neuroscience. [PDF]
eNeuro, 2022 Abbott LF, Marder E.
europepmc +1 more source
Learnable Diffusion Framework for Mouse V1 Neural Decoding
Advanced Science, EarlyView.We introduce Sensorium‐Viz, a diffusion‐based framework for reconstructing high‐fidelity visual stimuli from mouse primary visual cortex activity. By integrating a novel spatial embedding module with a Diffusion Transformer (DiT) and a synthetic‐response augmentation strategy, our model outperforms state‐of‐the‐art fMRI‐based baselines, enabling robust
Kaiwen Deng +2 more
wiley +1 more source