Small Model with Internal Complexity
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big AI modelNature
•Network model with internal complexity bridges artificial intelligence and neuroscience - Nature Computational Science
Summary
Nutrition label
91% Informative
The HodgkinHuxley (HH) network with rich internal complexity can be equivalent to a bigger leaky integrate-and-fire ( LIF ) network, where each neuron is a LIF neuron with simple internal complexity.
We uncover that one has to increase the scale of the network externally to stimulate the same dynamical properties.
An image is worth 16 16 words: transformers for image recognition at scale.
Deep learning-based protein sequence design using proteinMPNN (2022) Dauparas, J. Dayan , P. & Abbott , L. F. Theoretical Neuroscience : Computational and Mathematical Modeling of Neural Systems ( MIT Press ).
Pei, J.Roy , K. , Jaiswal, A. & Panda, P. Roy: Towards artificial general intelligence with hybrid Tianjic chip architecture.
Davies, M. Loihi: a neuromorphic manycore processor with on-chip learning.
Zhou, P., Choi , D.-U., Lu , W. D., Kang , S.-M. & Eshraghian: Gradient-based neuromorphic learning on dynamical RRAM arrays.
VR Score
95
Informative language
97
Neutral language
59
Article tone
formal
Language
English
Language complexity
46
Offensive language
not offensive
Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
long-living
External references
137
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