ReviewTrends in cognitive sciences2018
Decoding Cognitive Processes from Neural Ensembles.
Review in Trends in cognitive sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
25 citing papers in PubMed.
- Organization, neuronal composition, and dynamics of neuronal ensembles in the songbird auditory forebrain.iScience · 2026Article
- Probing biomarkers and clinical utility of reward learning across species using the Probabilistic Reward Task: 20 years of findings.Nature. Mental health · 2026Article
- Effects of overt and covert attention on decision-making dynamics in prefrontal cortex.bioRxiv : the preprint server for biology · 2026Article
- Neuronal Decoding of Decisions in Multidimensional Feature Space Using a Gated Recurrent Variational Autoencoder.bioRxiv : the preprint server for biology · 2025Article
- Dynamic gamma modulation of hippocampal place cells predominates development of theta sequences.eLife · 2025Article
- Article
- Mental Time Travel: A Retrospective.Hippocampus · 2025Review
- Time-varying generalized linear models: characterizing and decoding neuronal dynamics in higher visual areas.Frontiers in computational neuroscience · 2024Review
- Beta traveling waves in monkey frontal and parietal areas encode recent reward history.Nature communications · 2023Article
- Value dynamics affect choice preparation during decision-making.Nature neuroscience · 2023Article
- Towards hippocampal navigation for brain-computer interfaces.Scientific reports · 2023Article
- Ventromedial prefrontal neurons represent self-states shaped by vicarious fear in male mice.Nature communications · 2023Article
- Cortical connectivity gradients and local timescales during cognitive states are modulated by cognitive loads.Brain structure & function · 2022Article
- Laser stimulation of the skin for quantitative study of decision-making and motivation.Cell reports methods · 2022Article
- Article
- Taking stock of value in the orbitofrontal cortex.Nature reviews. Neuroscience · 2022Review
- Call for a more balanced approach to understanding orbital frontal cortex function.Behavioral neuroscience · 2021Article
- Bistability of somatic pattern memories: stochastic outcomes in bioelectric circuits underlying regeneration.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021Review
- Article
- Projections and the Potential Societal Impact of the Future of Neurotechnologies.Frontiers in neuroscience · 2021Review
Corrections and comments
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Authors and funding
1 author.
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Abstract
An intrinsic difficulty in studying cognitive processes is that they are unobservable states that exist in between observable responses to the sensory environment. Cognitive states must be inferred from indirect behavioral measures. Neuroscience potentially provides the tools necessary to measure cognitive processes directly, but it is challenged on two fronts. First, neuroscientific measures often lack the spatiotemporal resolution to identify the neural computations that underlie a cognitive process. Second, the activity of a single neuron, which is the fundamental building block of neural computation, is too noisy to provide accurate measurements of a cognitive process. In this paper, I examine recent developments in neurophysiological recording and analysis methods that provide a potential solution to these problems.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.