| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Shuting Han, Fritjof Helmche. Behavior-relevant top-down cross-modal predictions in mouse neocortex. Nature neuroscience. 2024-01-04. PMID:38177341. |
behavior-relevant top-down cross-modal predictions in mouse neocortex. |
2024-01-04 |
2024-01-07 |
mouse |
| Colleen J Gillon, Jason E Pina, Jérôme Lecoq, Ruweida Ahmed, Yazan N Billeh, Shiella Caldejon, Peter A Groblewski, Timothy M Henley, India Kato, Eric Lee, Jennifer Luviano, Kyla Mace, Chelsea Nayan, Thuyanh V Nguyen, Kat North, Jed Perkins, Sam Seid, Matthew T Valley, Ali Williford, Yoshua Bengio, Timothy P Lillicrap, Blake A Richards, Joel Zylberber. Responses to pattern-violating visual stimuli evolve differently over days in somata and distal apical dendrites. The Journal of neuroscience : the official journal of the Society for Neuroscience. 2023-11-21. PMID:37989593. |
scientists have long conjectured that the neocortex learns patterns in sensory data to generate top-down predictions of upcoming stimuli. |
2023-11-21 |
2023-11-29 |
mouse |
| Anna Schroeder, M Belén Pardi, Joram Keijser, Tamas Dalmay, Ayelén I Groisman, Erin M Schuman, Henning Sprekeler, Johannes J Letzku. Inhibitory top-down projections from zona incerta mediate neocortical memory. Neuron. 2023-01-07. PMID:36610397. |
top-down projections convey a family of signals encoding previous experiences and current aims to the sensory neocortex, where they converge with external bottom-up information to enable perception and memory. |
2023-01-07 |
2023-08-14 |
mouse |
| Anna Schroeder, M Belén Pardi, Joram Keijser, Tamas Dalmay, Ayelén I Groisman, Erin M Schuman, Henning Sprekeler, Johannes J Letzku. Inhibitory top-down projections from zona incerta mediate neocortical memory. Neuron. 2023-01-07. PMID:36610397. |
here, we combine synaptic two-photon calcium imaging, circuit mapping, cortex-dependent learning, and chemogenetics in mice to identify gabaergic afferents from the subthalamic zona incerta as a major source of top-down input to the neocortex. |
2023-01-07 |
2023-08-14 |
mouse |
| Daniel J Rindner, Archana Proddutur, Gyorgy Lu. Cell-type-specific integration of feedforward and feedback synaptic inputs in the posterior parietal cortex. Neuron. 2022-09-10. PMID:36087582. |
the integration of feedforward (sensory) and feedback (top-down) neuronal signals is a principal function of the neocortex. |
2022-09-10 |
2023-08-14 |
Not clear |
| Edmund T Roll. The connections of neocortical pyramidal cells can implement the learning of new categories, attractor memory, and top-down recall and attention. Brain structure & function. vol 226. issue 8. 2021-11-22. PMID:34347165. |
the neocortex performs three major types of computation: (1) unsupervised learning of new categories, by allocating neurons to respond to combinations of inputs from the preceding cortical stage, which can be performed using competitive learning; (2) short-term memory, which can be performed by an attractor network using the recurrent collaterals; and (3) recall of what has been learned by top-down backprojections from the following cortical area. |
2021-11-22 |
2023-08-13 |
Not clear |
| Benjamin Schuman, Shlomo Dellal, Alvar Prönneke, Robert Machold, Bernardo Rud. Neocortical Layer 1: An Elegant Solution to Top-Down and Bottom-Up Integration. Annual review of neuroscience. vol 44. 2021-10-25. PMID:33730511. |
particularly, they depend upon the ability of the neocortex to integrate the information provided by the sensory organs (bottom-up information) with internally generated signals such as expectations or attentional signals (top-down information). |
2021-10-25 |
2023-08-13 |
Not clear |
| Ryo Tani, Yoshiki Kashimor. Coordination of top-down influence on V1 responses by interneurons and brain rhythms. Bio Systems. vol 207. 2021-07-23. PMID:34139291. |
top-down processing in neocortex underlies functions such as prediction, expectation, and attention. |
2021-07-23 |
2023-08-13 |
Not clear |
| Tielin Zhang, Shuncheng Jia, Xiang Cheng, Bo X. Tuning Convolutional Spiking Neural Network With Biologically Plausible Reward Propagation. IEEE transactions on neural networks and learning systems. vol PP. 2021-06-14. PMID:34125691. |
this effort is more consistent with the top-down reward-guiding learning in cortical columns of the neocortex. |
2021-06-14 |
2023-08-13 |
Not clear |
| Lorenzo Gesuita, Theofanis Karayanni. A 'Marginal' tale: the development of the neocortical layer 1. Current opinion in neurobiology. vol 66. 2021-05-25. PMID:33069991. |
through the engagement of a diverse set of gabaergic inhibitory cells by bottom-up and top-down inputs, adult layer 1 becomes a powerful computational platform for the neocortex. |
2021-05-25 |
2023-08-13 |
Not clear |
| Heiko Braak, Kelly Del Tredic. Top-Down Projections Direct the Gradual Progression of Alzheimer-Related Tau Pathology Throughout the Neocortex. Advances in experimental medicine and biology. vol 1184. 2020-04-08. PMID:32096045. |
top-down projections direct the gradual progression of alzheimer-related tau pathology throughout the neocortex. |
2020-04-08 |
2023-08-13 |
Not clear |
| David S Uygun, Zhiwen Ye, Anna Y Zecharia, Edward C Harding, Xiao Yu, Raquel Yustos, Alexei L Vyssotski, Stephen G Brickley, Nicholas P Franks, William Wisde. Bottom-Up versus Top-Down Induction of Sleep by Zolpidem Acting on Histaminergic and Neocortex Neurons. The Journal of neuroscience : the official journal of the Society for Neuroscience. vol 36. issue 44. 2017-07-19. PMID:27807161. |
bottom-up versus top-down induction of sleep by zolpidem acting on histaminergic and neocortex neurons. |
2017-07-19 |
2023-08-13 |
Not clear |
| Priyamvada Rajasethupathy, Sethuraman Sankaran, James H Marshel, Christina K Kim, Emily Ferenczi, Soo Yeun Lee, Andre Berndt, Charu Ramakrishnan, Anna Jaffe, Maisie Lo, Conor Liston, Karl Deisserot. Projections from neocortex mediate top-down control of memory retrieval. Nature. vol 526. issue 7575. 2016-04-26. PMID:26436451. |
projections from neocortex mediate top-down control of memory retrieval. |
2016-04-26 |
2023-08-13 |
mouse |
| Steven L Bressler, Craig G Richte. Interareal oscillatory synchronization in top-down neocortical processing. Current opinion in neurobiology. vol 31. 2015-12-04. PMID:25217807. |
top-down processing in the neocortex underlies important cognitive functions such as predictive coding and attentional set. |
2015-12-04 |
2023-08-13 |
Not clear |
| Steven L Bressler, Craig G Richte. Interareal oscillatory synchronization in top-down neocortical processing. Current opinion in neurobiology. vol 31. 2015-12-04. PMID:25217807. |
we further speculate that large-scale distributed networks, self-organized at the highest hierarchical levels, are the source of top-down signals in the neocortex. |
2015-12-04 |
2023-08-13 |
Not clear |
| Rowan Baker, Thomas C Gent, Qianzi Yang, Susan Parker, Alexei L Vyssotski, William Wisden, Stephen G Brickley, Nicholas P Frank. Altered activity in the central medial thalamus precedes changes in the neocortex during transitions into both sleep and propofol anesthesia. The Journal of neuroscience : the official journal of the Society for Neuroscience. vol 34. issue 40. 2015-01-20. PMID:25274812. |
some evidence points toward effects on the neocortex causing "top-down" inhibition, whereas other findings suggest that these drugs act via subcortical mechanisms, possibly selectively stimulating networks promoting natural sleep. |
2015-01-20 |
2023-08-13 |
rat |
| Lester Ingber, Marco Pappalepore, Ronald R Stesia. Electroencephalographic field influence on calcium momentum waves. Journal of theoretical biology. vol 343. 2014-09-28. PMID:24239957. |
the top-down mechanism considered is macrocolumnar eeg firings in neocortex, as described by a statistical mechanics of neocortical interactions (smni), developed as a magnetic vector potential a. |
2014-09-28 |
2023-08-12 |
Not clear |
| Cheng-Te Wang, Chung-Ting Lee, Xiao-Jing Wang, Chung-Chuan L. Top-down modulation on perceptual decision with balanced inhibition through feedforward and feedback inhibitory neurons. PloS one. vol 8. issue 4. 2013-11-26. PMID:23626812. |
second, how is a top-down bsi realized via only excitatory long-range projections in the neocortex? |
2013-11-26 |
2023-08-12 |
Not clear |
| Kendra S Burbank, Gabriel Kreima. Depression-biased reverse plasticity rule is required for stable learning at top-down connections. PLoS computational biology. vol 8. issue 3. 2012-06-25. PMID:22396630. |
top-down synapses are ubiquitous throughout neocortex and play a central role in cognition, yet little is known about their development and specificity. |
2012-06-25 |
2023-08-12 |
Not clear |
| Sven Schrader, Marc-Oliver Gewaltig, Ursula Körner, Edgar Körne. Cortext: a columnar model of bottom-up and top-down processing in the neocortex. Neural networks : the official journal of the International Neural Network Society. vol 22. issue 8. 2010-01-08. PMID:19713075. |
cortext: a columnar model of bottom-up and top-down processing in the neocortex. |
2010-01-08 |
2023-08-12 |
Not clear |