Results 71 to 80 of about 1,462,604 (241)

Investigating transcription factor dynamics in health and disease using FRAP

open access: yesFEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj   +3 more
wiley   +1 more source

Classical conditioning

open access: yes, 2006
A learning object produced for the X4L Colossus Project. It discusses Pavlov's discovery of classical conditioning when working in his laboratory, and its influence on the development of behaviourist psychology.
Sharon Boyd
core  

Cortico-Hippocampal Computational Modeling Using Quantum-Inspired Neural Networks

open access: yesFrontiers in Computational Neuroscience, 2020
Many current computational models that aim to simulate cortical and hippocampal modules of the brain depend on artificial neural networks. However, such classical or even deep neural networks are very slow, sometimes taking thousands of trials to obtain ...
Mustafa Khalid   +9 more
doaj   +1 more source

An epithelial GPR35 isoform supports tumor‐associated transcriptional and metabolic phenotypes

open access: yesFEBS Letters, EarlyView.
GPR35 generates two functionally distinct isoforms with previously unresolved roles. GPR35‐short mediates immune‐cell chemotaxis, while GPR35‐long is enriched in colorectal cancer epithelium, where it supports increased metabolism, proliferation, and tumor‐associated transcriptional programs.
Jørgen D. Rønneberg   +14 more
wiley   +1 more source

The Role of Behaviourist Theory in Educational Technology [PDF]

open access: yesدراسات تربوية و نفسية - مجلة كلية التربية بالزقازيق
Educators from behaviourist theory’s perspective can shape the behaviour and responses of learners to a specific stimulus in order to help them acquire new knowledge.. Research has been performed, previously, into how students learn and gain information,
doaj   +1 more source

Mismatch Negativity in Rat Auditory Cortex Represents the Empirical Salience of Sounds

open access: yesFrontiers in Neuroscience, 2018
Mismatch negativity (MMN) is an N-methyl-D-aspartic acid-mediated component and thus has been widely considered a major candidate biomarker of schizophrenia.
Tomoyo Isoguchi Shiramatsu   +1 more
doaj   +1 more source

An Amygdala-Inspired Classical Conditioning Model Implemented on an FPGA for Home Service Robots

open access: yesIEEE Access, 2020
This study develops an intelligent system for home service robots mimicking human brain function that can manage common knowledge applicable to any environment and local knowledge reflecting its specific environment.
Yuichiro Tanaka   +2 more
doaj   +1 more source

Structure‐forward targeting of claudins with synthetic binders

open access: yesFEBS Letters, EarlyView.
Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley   +1 more source

Implementing classical conditioning with spiking neurons

open access: yes, 2007
In this paper, we attempt to implement classical conditioning with spiking neurons instead of connectionist neural networks. The neuron model used is a leaky linear integrate-and-fire model with a learning algorithm combining spike-time dependent Hebbian
Liu, Chong   +3 more
core   +1 more source

Computational Models of Classical Conditioning: A Qualitative Evaluation and Comparison [PDF]

open access: yes, 2014
Classical conditioning is a fundamental paradigm in the study of learning and thus in understanding cognitive processes and behaviour, for which we need comprehensive and accurate models.
Alonso, E., Mondragon, E., Sahota, P.
core   +4 more sources

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