Results 121 to 130 of about 2,017,547 (269)
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed +15 more
wiley +1 more source
A behavioral architecture for realistic simulations of Drosophila larva locomotion and foraging
The Drosophila larva is extensively used as a model organism in neuroethological studies where precise behavioral tracking enables the statistical analysis of individual and population-level behavioral metrics that can inform mathematical models of ...
Panagiotis Parthenios Sakagiannis +2 more
doaj +1 more source
Constraining the many-worlds interpretation of computational neuroscience with neurophotonics: a conversation with Gaute Einevoll. [PDF]
Devor A.
europepmc +1 more source
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker +2 more
wiley +1 more source
Remembering Hirsh Cohen and His Role in Developing Computational Neuroscience. [PDF]
Abbott LF, Marder E.
europepmc +1 more source
Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source
A Language‐Guided Multimodal Foundation Model for Zero‐Shot and Multi‐Task Brain Signal Analysis
METIS aligns brain signals with natural‐language instructions to enable zero‐shot and multi‐task brain signal analysis. Pretrained on over 70 000 h of EEG and iEEG recordings, it generalizes across sleep stage classification, epilepsy detection, and neurological disorder diagnosis, providing a scalable foundation model for clinically meaningful brain ...
Mingzhi Chen +3 more
wiley +1 more source
The representation of omitted sounds in the mouse auditory cortex
Humans and animals use predictions to optimize their behavior, however, the underlying neuronal implementation remains elusive. We address this using omitted sounds on the macro- and microscale of the auditory cortex of female, normal hearing mice using ...
Janek Peters +7 more
doaj +1 more source
Computational Neuroscience Approach to Psychiatry: A Review on Theory-driven Approaches. [PDF]
Khaleghi A +3 more
europepmc +1 more source
Fundamentals of Computational Neuroscience
Fundamentals of Computational Neuroscience probably later editions will be better ...
Trappenberg, T. P.
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