[HTML][HTML] odMLtables: a user-friendly approach for managing metadata of neurophysiological experiments

J Sprenger, L Zehl, J Pick, M Sonntag… - Frontiers in …, 2019 - frontiersin.org
An essential aspect of scientific reproducibility is a coherent and complete acquisition of
metadata along with the actual data of an experiment. The high degree of complexity and …

[HTML][HTML] Bottom-up and top-down neural signatures of disordered multi-talker speech perception in adults with normal hearing

A Parthasarathy, KE Hancock, K Bennett, V DeGruttola… - Elife, 2020 - elifesciences.org
… high-fidelity encoding of bottom-up acoustic features such as sTFS … to compensate for poorly
resolved bottom-up sensory cues, … parallel psychophysical and neurophysiological tests of …

A data-driven framework for mapping domains of human neurobiology

E Beam, C Potts, RA Poldrack, A Etkin - Nature neuroscience, 2021 - nature.com
… We thus encourage future research that leverages bottom-up approaches to derive and
evaluate novel frameworks for knowledge in human neuroimaging. For example, an ontology of …

[HTML][HTML] Where top-down meets bottom-up: Cell-type specific connectivity map of the whisker system

N Rault, T Bergmans, N Delfstra, BJ Kleijnen… - Neuroinformatics, 2024 - Springer
… Sensorimotor computation integrates bottom-up world state information with top-down
knowledge and task goals to form action plans. In the rodent whisker system, a prime model of …

[HTML][HTML] Cosmo-onset: A neurally-inspired computational model of spoken word recognition, combining top-down prediction and bottom-up detection of syllabic onsets

M Nabé, JL Schwartz, J Diard - Frontiers in Systems Neuroscience, 2021 - frontiersin.org
… COSMO-Onset with a possible neurophysiological implementation of the temporal processing
… between the present simulations and real neurophysiological data more straightforward. …

[HTML][HTML] Distinctive properties of biological neural networks and recent advances in bottom-up approaches toward a better biologically plausible neural network

I Jeon, T Kim - Frontiers in Computational Neuroscience, 2023 - frontiersin.org
… Thus, the bottom-up approach to developing a brain-like … not very influential, a bottom-up
approach appears to be infeasible … and AI engineering using a bottom-up approach should be …

[HTML][HTML] Reproducibility and efficiency in handling complex neurophysiological data

M Denker, S Grün, T Wachtler, H Scherberger - Neuroforum, 2021 - degruyter.com
… of neural activity and its relationship to signals that express population activity and the
establishment of workflows that improve the reproducibility of data analysis in neurophysiology. …

A bottom-up and top-down human visual attention approach for hyperspectral anomaly detection

A Taghipour, H Ghassemian - Journal of Visual Communication and Image …, 2021 - Elsevier
… Here, we aim to fuse spatial and spectral anomaly features based on bottom-up (BU) and …
to psychological or neurophysiological findings [12]. The TD visual attention approach is task-…

[HTML][HTML] Rhythmic modulation of prediction errors: A top-down gating role for the beta-range in speech processing

S Hovsepyan, I Olasagasti… - PLOS Computational …, 2023 - journals.plos.org
bottom-up and top-down processing regimes improves syllable recognition, and that optimal
efficacy is reached when the alternation of bottom-up … notion of alternating bottom-up and top…

Toward A database of intracranial electrophysiology during natural language presentation

E Kaestner, AM Morgan, J Snider, M Zhan… - Language, cognition …, 2020 - Taylor & Francis
… , or play a game the synchronisation system will facilitate later neural data analysis. Second,
we describe the approach used to label the natural language stimuli being presented. Third, …