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#morphologically — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #morphologically, aggregated by home.social.

  1. 🧠 New paper by Deistler et al: #JAXLEY: differentiable #simulation for large-scale training of detailed #biophysical #models of #NeuralDynamics.

    They present a #differentiable #GPU accelerated #simulator that trains #morphologically detailed biophysical #neuron models with #GradientDescent. JAXLEY fits intracellular #voltage and #calcium data, scales to 1000s of compartments, trains biophys. #RNNs on #WorkingMemory tasks & even solves #MNIST.

    🌍 doi.org/10.1038/s41592-025-028

    #Neuroscience #CompNeuro

  2. 🧠 New paper by Deistler et al: #JAXLEY: differentiable #simulation for large-scale training of detailed #biophysical #models of #NeuralDynamics.

    They present a #differentiable #GPU accelerated #simulator that trains #morphologically detailed biophysical #neuron models with #GradientDescent. JAXLEY fits intracellular #voltage and #calcium data, scales to 1000s of compartments, trains biophys. #RNNs on #WorkingMemory tasks & even solves #MNIST.

    🌍 doi.org/10.1038/s41592-025-028

    #Neuroscience #CompNeuro

  3. 🧠 New paper by Deistler et al: #JAXLEY: differentiable #simulation for large-scale training of detailed #biophysical #models of #NeuralDynamics.

    They present a #differentiable #GPU accelerated #simulator that trains #morphologically detailed biophysical #neuron models with #GradientDescent. JAXLEY fits intracellular #voltage and #calcium data, scales to 1000s of compartments, trains biophys. #RNNs on #WorkingMemory tasks & even solves #MNIST.

    🌍 doi.org/10.1038/s41592-025-028

    #Neuroscience #CompNeuro

  4. 🧠 New paper by Deistler et al: #JAXLEY: differentiable #simulation for large-scale training of detailed #biophysical #models of #NeuralDynamics.

    They present a #differentiable #GPU accelerated #simulator that trains #morphologically detailed biophysical #neuron models with #GradientDescent. JAXLEY fits intracellular #voltage and #calcium data, scales to 1000s of compartments, trains biophys. #RNNs on #WorkingMemory tasks & even solves #MNIST.

    🌍 doi.org/10.1038/s41592-025-028

    #Neuroscience #CompNeuro

  5. 🧠 New paper by Deistler et al: #JAXLEY: differentiable #simulation for large-scale training of detailed #biophysical #models of #NeuralDynamics.

    They present a #differentiable #GPU accelerated #simulator that trains #morphologically detailed biophysical #neuron models with #GradientDescent. JAXLEY fits intracellular #voltage and #calcium data, scales to 1000s of compartments, trains biophys. #RNNs on #WorkingMemory tasks & even solves #MNIST.

    🌍 doi.org/10.1038/s41592-025-028

    #Neuroscience #CompNeuro

  6. Below a #grasshopper nymph of the #Chorthippus #biguttulus #group, including closely related European #species C. biguttulus, C. brunneus, and C. mollis. They cannot be clearly differed #morphologically, only by their #songs. B. Gottsberger & F. Mayer (2019) studied mechanisms of #speciesboundarystabilization between C. brunneus/C. biguttulus, which can #hybridize. But hybrids exhibit #songpreferences of C. biguttulus females.

    ©#StefanFWirth 2025

    Ref
    doi.org/10.1111/jeb.13490

    Photos
    S.F. Wirth