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Effective Stimuli for Constructing Reliable Neuron Models

Related publications (27)

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

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Proprioception tells the brain the state of the body based on distributed sensors in the body. However, the principles that govern proprioceptive processing from those distributed sensors are poorly understood. Here, we employ a task-driven neural network ...

Zenodo2024

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

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The ability to reason, plan and solve highly abstract problems is a hallmark of human intelligence. Recent advancements in artificial intelligence, propelled by deep neural networks, have revolutionized disciplines like computer vision and natural language ...

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Predicting Visual Stimuli From Cortical Response Recorded With Wide-Field Imaging in a Mouse

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Neural decoding of the visual system is a subject of research interest, both to understand how the visual system works and to be able to use this knowledge in areas, such as computer vision or brain-computer interfaces. Spike-based decoding is often used, ...

Ieee-Inst Electrical Electronics Engineers Inc2024

Subcortical correlates of consciousness with human single neuron recordings

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Subcortical brain structures such as the basal ganglia or the thalamus are involved in regulating motor and cognitive behavior. However, their contribution to perceptual consciousness is still unclear, due to the inherent difficulties of recording subcorti ...

2024

Fast adaptation to rule switching using neuronal surprise

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In humans and animals, surprise is a physiological reaction to an unexpected event, but how surprise can be linked to plausible models of neuronal activity is an open problem. We propose a self-supervised spiking neural network model where a surprise signa ...

2024

Unified Harmonic Power-Flow and Stability Analysis of Power Grids with Converter-Interfaced Distributed Energy Resources

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Modern power distribution systems are experiencing a large-scale integration of Converter-Interfaced Distributed Energy Resources (CIDERs). Their presence complicates the analysis and mitigation of harmonics, whose creation and propagation may be amplified ...

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Pyroresistive response of percolating conductive polymer composites

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The pyroresistive response of conductive polymer composites (CPCs) has attracted much interest because of its potential applications in many electronic devices requiring a significant responsiveness to changes in external physical parameters such as temper ...

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Unveiling the complexity of learning and decision-making

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Reinforcement learning (RL) is crucial for learning to adapt to new environments. In RL, the prediction error is an important component that compares the expected and actual rewards. Dopamine plays a critical role in encoding these prediction errors. In my ...

EPFL2024

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

Alexander Mathis, Alberto Silvio Chiappa, Alessandro Marin Vargas, Axel Bisi

Here we provide the neural data, activation and predictions for the best models and result dataframes of our article "Task-driven neural network models predict neural dynamics of proprioception". It contains the behavioral and neural experimental data (cu ...

EPFL Infoscience2024

Effective Stimuli for Constructing Reliable Neuron Models

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Predicting Visual Stimuli From Cortical Response Recorded With Wide-Field Imaging in a Mouse

Subcortical correlates of consciousness with human single neuron recordings

Fast adaptation to rule switching using neuronal surprise

Unified Harmonic Power-Flow and Stability Analysis of Power Grids with Converter-Interfaced Distributed Energy Resources

Pyroresistive response of percolating conductive polymer composites

Unveiling the complexity of learning and decision-making

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

Graph Chatbot

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Predicting Visual Stimuli From Cortical Response Recorded With Wide-Field Imaging in a Mouse

Subcortical correlates of consciousness with human single neuron recordings

Fast adaptation to rule switching using neuronal surprise

Unified Harmonic Power-Flow and Stability Analysis of Power Grids with Converter-Interfaced Distributed Energy Resources

Pyroresistive response of percolating conductive polymer composites

The neural correlates of topographical disorientation-a lesion analysis study

Unveiling the complexity of learning and decision-making

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

The neural correlates of topographical disorientation-a lesion analysis study