Results 1 to 10 of about 377 (38)
Abstracts of the 52nd Annual Conference of the Italian Society of Neurology. [PDF]
Neurol Sci, 2022 europepmc +1 more source
28th Annual Computational Neuroscience Meeting: CNS*2019. [PDF]
BMC Neurosci, 2019 europepmc +1 more source
25th Annual Computational Neuroscience Meeting: CNS-2016. [PDF]
BMC Neurosci, 2016 europepmc +1 more source
Modeling the dynamics of human brain activity with recurrent neural networks [PDF]
, 2016 Encoding models are used for predicting brain activity in response to sensory stimuli with the objective of elucidating how sensory information is represented in the brain.
Güçlü, Umut, van Gerven, Marcel A. J.
core +2 more sources
Neural networks embrace learned diversity [PDF]
, 2022 Diversity conveys advantages in nature, yet homogeneous neurons typically comprise the layers of artificial neural networks. Here we construct neural networks from neurons that learn their own activation functions, quickly diversify, and subsequently ...
Choudhary, Anshul +4 more
core +3 more sources
Periodic and non-periodic brainwaves emerging via random syncronization of closed loops of firing neurons [PDF]
, 2022 Periodic and nonperiodic components of electrophysiological signals are modelled in terms of syncronized sequences of closed loops of firing neurons correlated in Markov chains.
Carbone, A., Mazzetti, P.
core +2 more sources
Efficient Scopeformer: Towards Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection [PDF]
, 2023 The quality and richness of feature maps extracted by convolution neural networks (CNNs) and vision Transformers (ViTs) directly relate to the robust model performance. In medical computer vision, these information-rich features are crucial for detecting
Barhoumi, Yassine +2 more
core +3 more sources
Seeking for a fingerprint: analysis of point processes in actigraphy recording [PDF]
, 2016 Motor activity of humans displays complex temporal fluctuations which can be characterized by scale-invariant statistics, thus documenting that structure and fluctuations of such kinetics remain similar over a broad range of time scales.
Beldzik, E. +11 more
core +2 more sources