Results 61 to 70 of about 299,758 (277)

An Online Unsupervised Structural Plasticity Algorithm for Spiking Neural Networks

, 2015
In this article, we propose a novel Winner-Take-All (WTA) architecture employing neurons with nonlinear dendrites and an online unsupervised structural plasticity rule for training it.
Basu, Arindam, Roy, Subhrajit
core   +1 more source

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source

Genetic attenuation of ALDH1A1 increases metastatic potential and aggressiveness in colorectal cancer

Molecular Oncology, EarlyView.
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova, Zuzana Kozovska, Ondrej Pos, Kristina Pavlov, Sachin Gulati, Peter Makovicky, Kristina Jakic, Monika Burikova, Eva Sedlackova, Barbora Svitkova, Silvia Tyciakova, Vojtech Bystry, Nicolas Blavet, Boris Tichy, Matej Hrnciar, Jaroslav Budis, Miroslav Tomas, Peter Dubovan, Georgina Kolnikova, Veronika Repaska, Nikoleta Mojzesova, Eva Zomborska, Daniel Pindak, Michal Mego, Tomas Szemes, Miroslava Matuskova   +25 more
wiley   +1 more source

Learning to learn persistently modifies an entorhinal-hippocampal excitatory-inhibitory subcircuit [PDF]

, 2019
SUMMARY Cognitive control, the judicious use of relevant information while ignoring distractions, is a feature of everyday cognitive experience, but its neurobiology is understudied. We investigated whether cognitive control training (CCT) changes hippocampal neural circuit function in mice, beyond the changes caused by place learning ...
Ain Chung, Claudia Jou, Alejandro Grau-Perales, Eliott Levy, Dino Dvorak, Nida Hussain, André A. Fenton   +6 more
openaire   +1 more source

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

FEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

Screening of the activity of sixty essential oils against plasmodium early mosquito stages in vitro and machine learning analysis reveals new putative inhibitors of malaria parasites

International Journal for Parasitology: Drugs and Drug Resistance, 2023
Malaria, an infectious disease with a tremendous impact on human health is caused by Plasmodium parasites, and transmitted by Anopheles mosquitoes.
Elena Deligianni, Elisabetta Pizzi, Ioanna Kavelaki, Inga Siden-Kiamos, Filippo Umberto Sapienza, Rossella Fioravanti, Stefania Garzoli, Tomasino Pace, Marta Ponzi, Rino Ragno, Chiara Currà   +10 more
doaj   +1 more source

Thalamic inputs to dorsomedial striatum are involved in inhibitory control: evidence from the five-choice serial reaction time task in rats [PDF]

, 2017
Rationale Corticostriatal circuits are widely implicated in the top-down control of attention including inhibitory control and behavioural flexibility. However, recent neurophysiological evidence also suggests a role for thalamic inputs to striatum in
A Bari, A Castañé, BN Armbruster, D Dautan, EA Schilman, ER Murphy, ES Robinson, G Paxinos, GM Alexander, HD Brown, J Groenewegen, J Wess, JN Rouder, JW Dalley, K Guillem, KM Turner, LA Bradfield, M Baviera, M Bentivoglio, M Carli, M Kimura, M Pezze, ME Ragozzino, N Amitai, N Matsumoto, NM Doig, P Aldrin-Kirk, RD Rogers, S Kinomura, SV Mahler, T Minamimoto, T Robbins, TJ Stachniak, TW Faust, V Boulougouris, Y Chudasama, Y Smith   +36 more
core   +2 more sources

Conditioned inhibition, inhibitory learning, response inhibition, and inhibitory control: Outlining a conceptual clarification.

Psychological Review, 2022
Inhibition can be defined as a phenomenon in which an agent prevents or suppresses a behavioral state that would otherwise occur. Associative learning studies have extensively examined how experiences shape the acquisition of inhibitory behavioral tendencies across many species and situations.
openaire   +2 more sources

Rapid screening of staphylokinase protein variants using an unpurified cell‐free expression system

FEBS Open Bio, EarlyView.
An unpurified cell‐free protein synthesis (CFPS) platform enables rapid functional screening of staphylokinase variants. Direct plasminogen‐activation assays performed in microplate format provide real‐time activity readouts, allowing rapid identification and ranking of variants with improved or reduced fibrinolytic activity without protein ...
Maria Tomková, Veronika Hovanová, Jiri Damborsky, Erik Sedlák   +3 more
wiley   +1 more source

Memory formation in reversal learning of the honeybee

Frontiers in Behavioral Neuroscience, 2010
In reversal learning animals are first trained with a differential learning protocol, where they learn to respond to a reinforced odor (CS+) and not to respond to a nonreinforced odor (CS-).
Ravit Hadar, Randolf Menzel
doaj   +1 more source