[HTML][HTML] Computational bioacoustics with deep learning: a review and roadmap
D Stowell - PeerJ, 2022 - peerj.com
Animal vocalisations and natural soundscapes are fascinating objects of study, and contain
valuable evidence about animal behaviours, populations and ecosystems. They are studied …
valuable evidence about animal behaviours, populations and ecosystems. They are studied …
[HTML][HTML] Using artificial neural networks to ask 'why'questions of minds and brains
Neuroscientists have long characterized the properties and functions of the nervous system,
and are increasingly succeeding in answering how brains perform the tasks they do. But the …
and are increasingly succeeding in answering how brains perform the tasks they do. But the …
[HTML][HTML] Model metamers reveal divergent invariances between biological and artificial neural networks
Deep neural network models of sensory systems are often proposed to learn
representational transformations with invariances like those in the brain. To reveal these …
representational transformations with invariances like those in the brain. To reveal these …
[HTML][HTML] Short-term synaptic plasticity in emerging devices for neuromorphic computing
Neuromorphic computing is a promising computing paradigm toward building next-
generation artificial intelligence machines, in which diverse types of synaptic plasticity play …
generation artificial intelligence machines, in which diverse types of synaptic plasticity play …
[HTML][HTML] Many but not all deep neural network audio models capture brain responses and exhibit correspondence between model stages and brain regions
Models that predict brain responses to stimuli provide one measure of understanding of a
sensory system and have many potential applications in science and engineering. Deep …
sensory system and have many potential applications in science and engineering. Deep …
[HTML][HTML] Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns
A Goldstein, A Grinstein-Dabush, M Schain… - Nature …, 2024 - nature.com
Contextual embeddings, derived from deep language models (DLMs), provide a continuous
vectorial representation of language. This embedding space differs fundamentally from the …
vectorial representation of language. This embedding space differs fundamentally from the …
[HTML][HTML] Deep neural network models reveal interplay of peripheral coding and stimulus statistics in pitch perception
MR Saddler, R Gonzalez, JH McDermott - Nature communications, 2021 - nature.com
Perception is thought to be shaped by the environments for which organisms are optimized.
These influences are difficult to test in biological organisms but may be revealed by machine …
These influences are difficult to test in biological organisms but may be revealed by machine …
From microphone to phoneme: an end-to-end computational neural model for predicting speech perception with cochlear implants
Goal: Advances in computational models of biological systems and artificial neural networks
enable rapid virtual prototyping of neuroprostheses, accelerating innovation in the field …
enable rapid virtual prototyping of neuroprostheses, accelerating innovation in the field …
Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons
The adaptive leaky integrate-and-fire (ALIF) model is fundamental within computational
neuroscience and has been instrumental in studying our brains $\textit {in silico} $. Due to …
neuroscience and has been instrumental in studying our brains $\textit {in silico} $. Due to …
The digital twin brain: A bridge between biological and artificial intelligence
In recent years, advances in neuroscience and artificial intelligence have paved the way for
unprecedented opportunities to understand the complexity of the brain and its emulation …
unprecedented opportunities to understand the complexity of the brain and its emulation …