1,793 results found
    1. Computational and Systems Biology
    2. Neuroscience

    Biologically plausible learning in recurrent neural networks reproduces neural dynamics observed during cognitive tasks

    Thomas Miconi
    A biologically plausible learning rule allows recurrent neural networks to learn nontrivial tasks, using only sparse, delayed rewards, and the neural dynamics of trained networks exhibit complex dynamics observed in animal frontal cortices.
    1. Neuroscience

    Predicting non-linear dynamics by stable local learning in a recurrent spiking neural network

    Aditya Gilra, Wulfram Gerstner
    Recurrent neuronal networks learn to predict movement in a self-supervised way using biologically plausible learning rules.
    1. Neuroscience

    Encoding sensory and motor patterns as time-invariant trajectories in recurrent neural networks

    Vishwa Goudar, Dean V Buonomano
    A recurrent network model trained to transcribe temporally scaled spoken digits into handwritten digits proposes that the brain flexibly encodes time-varying stimuli as neural trajectories that can be traversed at different speeds.
    1. Neuroscience

    Reward-based training of recurrent neural networks for cognitive and value-based tasks

    H Francis Song et al.
    A two-part neural network models reward-based training and provides a unified framework in which to study diverse computations that can be compared to electrophysiological recordings from behaving animals.
    1. Neuroscience

    Local online learning in recurrent networks with random feedback

    James M Murray
    A biologically plausible learning rule enables recurrent neural networks to model the way in which neural circuits use supervised learning to perform time-dependent computations.
    1. Computational and Systems Biology
    2. Neuroscience

    Learning: Neural networks subtract and conquer

    Guillaume Hennequin
    Two theoretical studies reveal how networks of neurons may behave during reward-based learning.
    Insight
    Available as:
    • HTML
    • PDF
    1. Neuroscience

    Neurophysiology: Fruit flies step out

    Ronald L Calabrese
    Insight
    Available as:
    • HTML
    • PDF
    1. Developmental Biology

    The Natural History of Model Organisms: An organismal perspective on C. intestinalis development, origins and diversification

    Matthew J Kourakis, William C Smith
    The life cycle and morphology of the sea squirt Ciona intestinalis shed light on vertebrate evolution.
    1. Ecology
    2. Plant Biology

    The Natural History of Model Organisms: Planting molecular functions in an ecological context with Arabidopsis thaliana

    Ute Krämer
    Research in molecular ecology and evolution is increasingly utilizing the model plant Arabidopsis thaliana, placing a spotlight on its natural history.
    1. Computational and Systems Biology

    Point of View: Data science for the scientific life cycle

    Daphne Ezer, Kirstie Whitaker
    Each stage of the scientific life cycle stands to benefit from the introduction of data science techniques.

Refine your results by:

Type
Research categories