- A method to convert neural signals into sound sequences
- Decoding speech perception from non-invasive brain recordings
- Encoding of speech in convolutional layers and the brain stem based on language experience - paper âclippedâ here đ Encoding of speech in convolutional layers and the brain stem based on language experience Scientific Reports
- Encoding sound in the cochlea from receptor potential to afferent discharge
- Generalized Shape Metrics on Neural Representations
- Guess What I Think Streamlined EEG-to-Image Generation with Latent Diffusion Models
- How can a neural network be like the brain? -post by Patrick Mineault from xcorr: AI & neuro
- Interpretation of convolutional neural networks for speech spectrogram regression from intracranial recordings
- On the cyclic nature of perception in vision versus audition
- Representational dissimilarity metric spaces for stochastic neural networks
- Representational similarity analysis â connecting the branches of systems neuroscience
- The Biological Basis of Audition
- Vision-Language Integration in Multimodal Video Transformers (Partially) Aligns with the Brain
- Whatâs the endgame of neuroAI?
Resources
- Neuroverse âš - podcast hosted by Clara and Carolina, two young neuroscientists, about all matters from neuroscience to philosophy and beyond
- Neural encoding of sound - Wikipedia (link)
Datasets
Filed under đ Neuroscience Datasets
Neur
Need to tidy these two subsections.
Bridging Comp. Neuroscience with SSL + DNN (Mineault)
- 2021 in review: unsupervised brain models â xcorr: comp neuro
- Blog | Jessica AF Thompson
- Beyond category-supervision: Computational support for domain-general pressures guiding human visual system representation - 2020.06.15.153247v3.full.pdf
- What can 5.17 billion regression fits tell us about artificial models of the human visual system? | OpenReview
- About me â xcorr: comp neuro
General
- Nature Reviews Neuroscience
- Reviews & Analysis | Nature Reviews Neuroscience
- Language - Latest research and news | Nature
- Integration of speed and time for estimating time to contact | PNAS
- Shared computational principles for language processing in humans and deep language models - s41593-022-01026-4.pdf
- Early linguistic experience shapes bilingual adultsâ hearing for phonemes in both languages - s41598-022-08557-7.pdf
- Decoding cognition from spontaneous neural activity - s41583-022-00570-z.pdf
- Table of contents | Neuronal Dynamics online book
- Neuronal Dynamics: Python Exercises â Neuronal Dynamics Exercises 0.3.7.dev10+gc439925.d20210222 documentation
- W. Gerstner - ONLINE COURSE - Computational Neuroscience
- A deep learning framework for neuroscience | Nature Neuroscience
- Frontiers | Decoding EEG Brain Activity for Multi-Modal Natural Language Processing
- Frontiers | Brain-to-text: decoding spoken phrases from phone representations in the brain
- High-performance brain-to-text communication via handwriting | Nature