Timo Flesch
Overview
Explore the profile of Timo Flesch including associated specialties, affiliations and a list of published articles.
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Articles
7
Citations
127
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0
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Recent Articles
1.
Li L, Flesch T, Ma C, Li J, Chen Y, Chen H, et al.
J Neurosci
. 2024 Aug;
44(37).
PMID: 39134418
The neural mechanisms of motor planning have been extensively studied in rodents. Preparatory activity in the frontal cortex predicts upcoming choice, but limitations of typical tasks have made it challenging...
2.
Flesch T, Saxe A, Summerfield C
Trends Neurosci
. 2023 Jan;
46(3):199-210.
PMID: 36682991
How do humans and other animals learn new tasks? A wave of brain recording studies has investigated how neural representations change during task learning, with a focus on how tasks...
3.
Flesch T, Nagy D, Saxe A, Summerfield C
PLoS Comput Biol
. 2023 Jan;
19(1):e1010808.
PMID: 36656823
Humans can learn several tasks in succession with minimal mutual interference but perform more poorly when trained on multiple tasks at once. The opposite is true for standard deep neural...
4.
Flesch T, Juechems K, Dumbalska T, Saxe A, Summerfield C
Neuron
. 2022 Dec;
110(24):4212-4219.
PMID: 36549271
No abstract available.
5.
Flesch T, Juechems K, Dumbalska T, Saxe A, Summerfield C
Neuron
. 2022 Jan;
110(7):1258-1270.e11.
PMID: 35085492
How do neural populations code for multiple, potentially conflicting tasks? Here we used computational simulations involving neural networks to define "lazy" and "rich" coding solutions to this context-dependent decision-making problem,...
6.
Muhle-Karbe P, Flesch T
J Neurosci
. 2020 Jul;
40(30):5706-5708.
PMID: 32699153
No abstract available.
7.
Flesch T, Balaguer J, Dekker R, Nili H, Summerfield C
Proc Natl Acad Sci U S A
. 2018 Oct;
115(44):E10313-E10322.
PMID: 30322916
Humans can learn to perform multiple tasks in succession over the lifespan ("continual" learning), whereas current machine learning systems fail. Here, we investigated the cognitive mechanisms that permit successful continual...