Browse our latest Neuroscience articles

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    1. Neuroscience
    2. Computational and Systems Biology

    Reorganization of spinal neural connectivity following recovery after thoracic spinal cord injury: insights from computational modelling

    Natalia A Shevtsova, Andrew B Lockhart ... Simon M Danner
    Not revised
    Reviewed Preprint v1
    • Important
    • Convincing
    1. Neuroscience

    Humans adapt rationally to approximate estimates of uncertainty

    Erdem Pulcu, Michael Browning
    Humans estimate different forms of uncertainty during learning, but do so imprecisely, leading to the misattribution of random fluctuations as fundamental shifts.
    1. Neuroscience

    Neural Representation of Time across Complementary Reference Frames

    Yangwen Xu, Nicola Sartorato ... Roberto Bottini
    Not revised
    Reviewed Preprint v1
    • Valuable
    • Incomplete
    1. Neuroscience

    The interplay between homeostatic synaptic scaling and homeostatic structural plasticity maintains the robust firing rate of neural networks

    Han Lu, Sandra Diaz-Pier ... Andreas Vlachos
    A biphasic structural plasticity rule interacts with homeostatic synaptic scaling to maintain firing rate homeostasis in neural networks.
    1. Neuroscience

    Multifaceted role of galanin in brain excitability

    Nicolas N Rieser, Milena Ronchetti ... Stephan CF Neuhauss
    The neuropeptide galanin modulates whole-brain activity and stress responses in zebrafish, revealing a complex, receptor-dependent role in seizure regulation with implications for epilepsy, and related neurological disorders.
    1. Neuroscience

    Cestode larvae excite host neuronal circuits via glutamatergic signalling

    Anja de Lange, Hayley Tomes ... Joseph V Raimondo
    Parasitic tapeworm larvae release glutamate and other excitatory molecules that can directly excite brain neurons.
    1. Neuroscience

    Intrinsic dynamic shapes responses to external stimulation in the human brain

    Maximilian Nentwich, Marcin Leszczynski ... Lucas C Parra
    A new computational model improves estimation of Granger connectivity by removing spurious effects of external inputs, and estimation of linear encoding models by removing spurious effects of recurrent connections.
    1. Neuroscience
    2. Physics of Living Systems

    Responses to membrane potential-modulating ionic solutions measured by magnetic resonance imaging of cultured cells and in vivo rat cortex

    Kyeongseon Min, Sungkwon Chung ... Jang-Yeon Park
    Magnetic resonance imaging, through its sensitivity to ionic environments that modulate membrane potential, enables noninvasive assessment of biological systems.
    1. Neuroscience

    Elucidating the selection mechanisms in context-dependent computation through low-rank neural network modeling

    Yiteng Zhang, Jianfeng Feng, Bin Min
    Mechanistic modeling with low-rank recurrent networks uncovers the relationship between network connectivity, neural dynamics, and selection modulation mechanisms in context-dependent computation.
    1. Neuroscience
    2. Computational and Systems Biology

    Assemblies, synapse clustering, and network topology interact with plasticity to explain structure-function relationships of the cortical connectome

    András Ecker, Daniela Egas Santander ... Michael W Reimann
    A new framework for exploring the mechanisms underlying learning in cortical microcircuits is established.
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