LSP-ENS
@lsp-ens.bsky.social
The LSP (Laboratoire des Systèmes Perceptifs) is a research laboratory at the Ecole Normale Supérieure, Paris, and the CNRS, with interests in visual and auditory perception.
https://lsp.dec.ens.fr/en
https://lsp.dec.ens.fr/en
Responses to combinations of motion clouds were well explained by a simple summation mechanism of the individual components.
Finally, a subset of neurons exhibited responses that could distinguish different speeds.
[3/3]
Finally, a subset of neurons exhibited responses that could distinguish different speeds.
[3/3]
October 7, 2025 at 3:38 PM
Responses to combinations of motion clouds were well explained by a simple summation mechanism of the individual components.
Finally, a subset of neurons exhibited responses that could distinguish different speeds.
[3/3]
Finally, a subset of neurons exhibited responses that could distinguish different speeds.
[3/3]
We found that motion features were encoded in a temporally ordered sequence: orientation and spatial frequency emerged within 120 ms after stimulus onset, while temporal frequency and direction followed at later latencies.
[2/3]
[2/3]
October 7, 2025 at 3:38 PM
We found that motion features were encoded in a temporally ordered sequence: orientation and spatial frequency emerged within 120 ms after stimulus onset, while temporal frequency and direction followed at later latencies.
[2/3]
[2/3]
October 7, 2025 at 3:38 PM
Reposted by LSP-ENS
The paper is now online and #openaccess on @hal_fr : "50 Years of Reverse Correlation: Replicating Ahumada et al.’s Pioneering Study" hal.science/hal-05060148
May 14, 2025 at 2:31 PM
The paper is now online and #openaccess on @hal_fr : "50 Years of Reverse Correlation: Replicating Ahumada et al.’s Pioneering Study" hal.science/hal-05060148
We reveal a hierarchical gradient for background invariance in ferret auditory cortex with #fUSI 🔬, as found in humans by @joshhmcdermott.bsky.social.
▶️ www.biorxiv.org/content/10.1...
#Neuroscience
▶️ www.biorxiv.org/content/10.1...
#Neuroscience
Hierarchical encoding of natural sounds mixtures in ferret auditory cortex
Extracting relevant auditory signals from complex natural scenes is a fundamental challenge for the auditory system. Sounds from multiple sources overlap in time and frequency. In particular, dynamic ...
www.biorxiv.org
February 17, 2025 at 1:39 PM
We reveal a hierarchical gradient for background invariance in ferret auditory cortex with #fUSI 🔬, as found in humans by @joshhmcdermott.bsky.social.
▶️ www.biorxiv.org/content/10.1...
#Neuroscience
▶️ www.biorxiv.org/content/10.1...
#Neuroscience
@magdalenasabat.bsky.social used 🔌 ephys to show that ferret auditory cortex neurons integrate sounds within fixed windows (~15–150 ms) that increase in non-primary auditory cortex, independent of information rate.
▶️ www.biorxiv.org/content/10.1...
#Neuroscience
▶️ www.biorxiv.org/content/10.1...
#Neuroscience
Neurons in auditory cortex integrate information within constrained temporal windows that are invariant to the stimulus context and information rate
Much remains unknown about the computations that allow animals to flexibly integrate across multiple timescales in natural sounds. One key question is whether multiscale integration is accomplished by...
www.biorxiv.org
February 17, 2025 at 1:39 PM
@magdalenasabat.bsky.social used 🔌 ephys to show that ferret auditory cortex neurons integrate sounds within fixed windows (~15–150 ms) that increase in non-primary auditory cortex, independent of information rate.
▶️ www.biorxiv.org/content/10.1...
#Neuroscience
▶️ www.biorxiv.org/content/10.1...
#Neuroscience