#wyart

[wyspersss]

True Sight

[neoncatgirl]

just a silly guy

[clockworkgalaxies]

Barbie meme collab with @bigbadvv0lf for our swtor ocs. I did lines and they handled colors! Kyth’arian on the left is mine, and Borrhis on the left is theirs~

[subspace-t-mine]

🫵🫳🤜👉🫳🍲

What...??

[compneuropapers]

Interesting Papers for Week 23, 2023

On the role of feedback in image recognition under noise and adversarial attacks: A predictive coding perspective. Alamia, A., Mozafari, M., Choksi, B., & VanRullen, R. (2023). Neural Networks, 157, 280–287.

Human-level play in the game of Diplomacy by combining language models with strategic reasoning. Bakhtin, A., Brown, N., Dinan, E., Farina, G., Flaherty, C., Fried, D., … Zijlstra, M. (2022). Science, 378(6624), 1067–1074.

The case against probabilistic inference: a new deterministic theory of 3D visual processing. Domini, F. (2023). Philosophical Transactions of the Royal Society B: Biological Sciences, 378(1869).

Efficient stabilization of imprecise statistical inference through conditional belief updating. Drevet, J., Drugowitsch, J., & Wyart, V. (2022). Nature Human Behaviour, 6(12), 1691–1704.

Noradrenergic signaling mediates cortical early tagging and storage of remote memory. Fan, X., Song, J., Ma, C., Lv, Y., Wang, F., Ma, L., & Liu, X. (2022). Nature Communications, 13, 7623.

Place cells dynamically refine grid cell activities to reduce error accumulation during path integration in a continuous attractor model. Fernandez-Leon, J. A., Uysal, A. K., & Ji, D. (2022). Scientific Reports, 12, 21443.

Dopamine promotes head direction plasticity during orienting movements. Fisher, Y. E., Marquis, M., D’Alessandro, I., & Wilson, R. I. (2022). Nature, 612(7939), 316–322.

Dynamic control of decision and movement speed in the human basal ganglia. Herz, D. M., Bange, M., Gonzalez-Escamilla, G., Auer, M., Ashkan, K., Fischer, P., … Brown, P. (2022). Nature Communications, 13, 7530.

Deep brain stimulation creates informational lesion through membrane depolarization in mouse hippocampus. Lowet, E., Kondabolu, K., Zhou, S., Mount, R. A., Wang, Y., Ravasio, C. R., & Han, X. (2022). Nature Communications, 13, 7709.

Human hippocampal responses to network intracranial stimulation vary with theta phase. Lurie, S. M., Kragel, J. E., Schuele, S. U., & Voss, J. L. (2022). eLife, 11, e78395.

Dissociable behavioural signatures of co-existing impulsivity and apathy in decision-making. Petitet, P., Zhao, S., Drew, D., Manohar, S. G., & Husain, M. (2022). Scientific Reports, 12, 21476.

Oscillations support short latency co-firing of neurons during human episodic memory formation. Roux, F., Parish, G., Chelvarajah, R., Rollings, D. T., Sawlani, V., Hamer, H., … Hanslmayr, S. (2022). eLife, 11, e78109.

Decreased Modulation of Population Correlations in Auditory Cortex Is Associated with Decreased Auditory Detection Performance in Old Mice. Shilling-Scrivo, K., Mittelstadt, J., & Kanold, P. O. (2022). Journal of Neuroscience, 42(49), 9278–9292.

A perceptual glitch in serial perception generates temporal distortions. Sierra, F., Muralikrishnan, R., Poeppel, D., & Tavano, A. (2022). Scientific Reports, 12, 21065.

Behavioral and neural representation of expected reward and risk. Sun, S., Cai, C., & Yu, R. (2022). NeuroImage, 264, 119731.

Depolarization block in olfactory sensory neurons expands the dimensionality of odor encoding. Tadres, D., Wong, P. H., To, T., Moehlis, J., & Louis, M. (2022). Science Advances, 8(50).

Subjective time is predicted by local and early visual processing. Tonoyan, Y., Fornaciai, M., Parsons, B., & Bueti, D. (2022). NeuroImage, 264, 119707.

The encoding of touch by somatotopically aligned dorsal column subdivisions. Turecek, J., Lehnert, B. P., & Ginty, D. D. (2022). Nature, 612(7939), 310–315.

Free energy model of emotional valence in dual-process perceptions. Yanagisawa, H., Wu, X., Ueda, K., & Kato, T. (2023). Neural Networks, 157, 422–436.

Environment Symmetry Drives a Multidirectional Code in Rat Retrosplenial Cortex. Zhang, N., Grieves, R. M., & Jeffery, K. J. (2022). Journal of Neuroscience, 42(49), 9227–9241.

[swissforextrading]

Charting new paths in AI learning

28.02.24 - Physicists at EPFL explore different AI learning methods, which can lead to smarter and more efficient models. In an era where artificial intelligence (AI) is transforming industries from healthcare to finance, understanding how these digital brains learn is more crucial than ever. Now, two researchers from EPFL, Antonia Sclocchi and Matthieu Wyart, have shed light on this process, focusing on a popular method known as Stochastic Gradient Descent (SGD). At the heart of an AI’s learning process are algorithms: sets of rules that guide AIs to improve based on the data they’re fed. SGD is one of these algorithms, like a guiding star that helps AIs navigate a complex landscape of information to find the best possible solutions a bit at a time. However, not all learning paths are equal. The EPFL study reveals how different approaches to SGD can significantly affect the efficiency and quality of AI learning. Specifically, the researchers examined how changing two key variables can lead to vastly different learning outcomes. The two variables were the size of the data samples the AI learns from at a single time (this is called the “batch size”) and the magnitude of its learning steps (this is the “learning rate”). They identified three distinct scenarios (“regimes”), each with unique characteristics that affect the AI’s learning process differently. In the first scenario, like exploring a new city without a map, the AI takes small, random steps, using small batches and high learning rates, which allows it to stumble upon solutions it might not have found otherwise. This approach is beneficial for exploring a wide range of possibilities but can be chaotic and unpredictable. The second scenario involves the AI taking a significant initial step based on its first impression, using larger batches and learning rates, followed by smaller, exploratory steps. This regime can speed up the learning process but risks missing out on better solutions that a more cautious approach might discover. The third scenario is like using a detailed map to navigate directly to known destinations. Here, the AI uses large batches and smaller learning rates, making its learning process more predictable and less prone to random exploration. This approach is efficient but may not always lead to the most creative or optimal solutions. The study offers a deeper understanding of the tradeoffs involved in training AI models, and highlights the importance of tailoring the learning process to the particular needs of each application. For example, medical diagnostics might benefit from a more exploratory approach where accuracy is paramount, while voice recognition might favor more direct learning paths for speed and efficiency. Nik Papageorgiou http://actu.epfl.ch/news/charting-new-paths-in-ai-learning (Source of the original content)

[importantwomensbirthdays]

Claire Wyart

Neuroscientist and biophysicist Claire Wyart was born in 1977. Since 2011, Wyart has led a team at the Paris Brain Institute. Her lab currently studies the integration of sensory inputs into the spinal cord during movement and development. In 2016, Wyart won the New York Stem Cell Foundation Robertson Award, and 2018, she won the Human Frontier Science Award. In 2022, she received the Richard Lounsbery Award from the National Academy of Sciences and the French Académie des Sciences.

[silverspringscd]

hello wyart

hello alarn

[444names]

magic spells + minerals + musical instruments + mythical humanoids BUT excluding "ite"

Abhura Abhure Abridium Abswurmba Abswurtz Admium Aganadine Ahlfeld Akabatina Akaga Aladium Alagicmira Alitz Allerion Almantle Altano Althane Althauyne Althundaga Amarise Amartz Amblygon Andium Anger Angle Anker Anopodum Antableife Antadium Antal Anter Antes Antessartz Antima Antine Anylin Apagon Apath Aquartz Arctine Argenium Argon Armontime Arsen Artinum Aubernon Augelie Augilarea Aviga Avoga Babweistle Baltime Baramecat Barapagon Barrocean Barrogent Bassane Bassflugel Bastrope Beckel Benalstos Benster Bergentum Berlandpan Biogaard Birnet Bismuthiel Blado Blase Blinard Bline Blity Bonead Bouldrete Boultija Bouse Bowenier Braga Brambulla Brame Brect Breife Brown Buddine Bugbeam Burst Cadmon Calumpet Carpmeti Carpy Caryte Celect Celence Centase Cerune Cespinna Chaid Chalc Chalcopian Chane Chanimaid Chaun Chlightnin Chlorax Chlore Chrophane Chrysocold Chrysocolt Clase Clast Claster Clead Cline Clurose Cochlor Colla Colum Columpet Combertine Cotuns Creeze Crine Cruthengu Cubus Cupalyte Cupriga Cuprotect Cuspine Cycloak Delane Demes Deroxyhyte Descloak Deviller Diatorm Dicot Dioclase Doomsoni Draun Dypine Dyscruth Dzharp Edeath Eosphannin Eospharp Ephess Euphorn Ferber Ferrum Ferrumhaun Firen Firer Firess Flample Florado Fluora Fluorax Fluorlin Fluorst Fraise Francevil Frosass Frose Frospine Frossulfur Frostile Gabrase Geight Geissartz Ghouse Gigan Glaur Goldbeam Grafton Graftonium Grandine Grenie Grune Guetter Guettitard Gwihabass Gwise Hagen Halcon Hauerlane Haumhorn Hedenium Hemater Hemuline Herbolt Heularen Hibolt Hibone Hiärnet Hydrogumo Iceblase Icebline Icesand Icesane Icesh Iceste Inferryl Inyip Iodolo Irine Irocolore James Jangbeam Kaatin Kamantle Kamar Kamet Kampire Kernakit Kinitrich Kinoclase Knort Kogaard Koreid Kosmium Kostcloak Krankhain Kremes Krenium Krier Krierius Krutile Labogummy Largendine Laver Leghinx Legrate Leucophope Lifenium Light Ligoclast Limore Liron Lizara Lizzaga Lonica Lublino Lutinaiad Lycrase Lyonsday Magioclase Magnet Mallase Malthunde Manid Maragon Maring Mascorn Melagon Melan Menicocon Mermar Mermica Mermone Meyerehnik Millian Mohrist Moolo Mottara Mundes Namba Namballast Namecloak Nephane Neptuns Nickarlesh Nickshin Noblin Nontine Népoud Obolt Obsider Ocean Ogren Ogreshane Okesiopar Oregon Orkitsuna Osard Osartz Osumentum Palla Palyze Pascloak Pauli Pecork Pectrian Penrose Pentorc Pentum Peoplesh Perror Phone Phorn Phornubi Phospine Picreenard Picropes Pinel Pipes Plagion Plagonium Plandpangu Plumbery Plumica Polarima Povond Powende Prouse Psillo Pumpet Pääkkönena Quakratase Quamarsen Quart Quartrope Rechten Renzy Rhene Rhodona Rhodot Rhombito Rhorn Ringtone Robolter Roclase Romorder Routhene Ruitar Rutine Sabie Sacring Salet Saltija Sameghin Santle Sauchuldra Schromium Segel Selier Selin Semsenock Serelind Seren Sewardyst Shado Shane Shantabar Shinx Sider Simple Simploid Sinet Singzhone Skutnina Smium Soapstile Sodalind Sparimate Spear Spectolitz Sphone Sphurium Spine Staura Steeligo Stenste Stericks Stile Stinel Stinum Stopascora Strochrise Stron Studtitan Sulayfairy Sulfury Sunerecate Surst Synchyst Temanger Teruda Thalcolare Thene Thune Tobertitan Todon Traspod Tremline Trine Triplity Tripple Tropes Tsavogaard Tschonel Tsunflesh Ulricreeze Ultrase Ulvöspine Undaga Uralabolt Ureak Urealgan Urush Valladium Vanid Vansmuth Vanura Veath Veslow Vesune Violar Vivine Vlade Vlast Wakaban Wende Wendine Werecork Willin Willine Wollo Wulfury Wurmba Wurtz Wyart Wyartin Xantar Ximene Ximete Yeelpan Yukspod Zabuyelie Zards Zhane Zhonead Zhony Zinak Zirconfuse

[dpqstudios]

Adding color to the Ink wash!! #artistsoninstagram #dpqstudios #bull #cowboy #wyomingartist #art #wyart #wyoming #arteducation #bull #ragingbull #ink #visualart #taurus #westernart #westernartist #watercolorpainting #watercolorart #watercolors #watercolorillustration https://www.instagram.com/p/CM51jpTLEc8/?igshid=16wl6ycpn5zlr

[swampmunsterr]

welcome home.

[wyspersss]

Portraits of the bad kids

[neoncatgirl]

ok but what if yttd was an early 2010s visual novel

[clockworkgalaxies]

i have like one character now and he baby

[uwujaboard]

whats up dbh fandom take my offering

[compneuropapers]

Interesting Papers for Week 35, 2023

Decoding Trans-Saccadic Prediction Error. Barne, L. C., Giordano, J., Collins, T., & Desantis, A. (2023). Journal of Neuroscience, 43(11), 1933–1939.

A cortical zoom-in operation underlies covert shifts of visual spatial attention. Bartsch, M. V., Merkel, C., Strumpf, H., Schoenfeld, M. A., Tsotsos, J. K., & Hopf, J.-M. (2023). Science Advances, 9(10).

Granger causality analysis for calcium transients in neuronal networks, challenges and improvements. Chen, X., Ginoux, F., Carbo-Tano, M., Mora, T., Walczak, A. M., & Wyart, C. (2023). eLife, 12, e81279.

Computational modeling of human multisensory spatial representation by a neural architecture. Domenici, N., Sanguineti, V., Morerio, P., Campus, C., Del Bue, A., Gori, M., & Murino, V. (2023). PLOS ONE, 18(3), e0280987.

Social signal learning of the waggle dance in honey bees. Dong, S., Lin, T., Nieh, J. C., & Tan, K. (2023). Science, 379(6636), 1015–1018.

Inferior temporal cortex leads prefrontal cortex in response to a violation of a learned sequence. Esmailpour, H., Raman, R., & Vogels, R. (2023). Cerebral Cortex, 33(6), 3124–3141.

Neural learning rules for generating flexible predictions and computing the successor representation. Fang, C., Aronov, D., Abbott, L., & Mackevicius, E. L. (2023). eLife, 12, e80680.

Dopamine error signal to actively cope with lack of expected reward. Ishino, S., Kamada, T., Sarpong, G. A., Kitano, J., Tsukasa, R., Mukohira, H., … Ogawa, M. (2023). Science Advances, 9(10).

Working memory control dynamics follow principles of spatial computing. Lundqvist, M., Brincat, S. L., Rose, J., Warden, M. R., Buschman, T. J., Miller, E. K., & Herman, P. (2023). Nature Communications, 14, 1429.

Variability in training unlocks generalization in visual perceptual learning through invariant representations. Manenti, G. L., Dizaji, A. S., & Schwiedrzik, C. M. (2023). Current Biology, 33(5), 817-826.e3.

Neuronal excitability as a regulator of circuit remodeling. Mayseless, O., Shapira, G., Rachad, E. Y., Fiala, A., & Schuldiner, O. (2023). Current Biology, 33(5), 981-989.e3.

Flexible tool set transport in Goffin’s cockatoos. Osuna-Mascaró, A. J., O’Hara, M., Folkertsma, R., Tebbich, S., Beck, S. R., & Auersperg, A. M. I. (2023). Current Biology, 33(5), 849-857.e4.

Dorsomedial prefrontal hypoexcitability underlies lost empathy in frontotemporal dementia. Phillips, H. L., Dai, H., Choi, S. Y., Jansen-West, K., Zajicek, A. S., Daly, L., … Yao, W.-D. (2023). Neuron, 111(6), 797-806.e6.

Flexible reuse of cortico-hippocampal representations during encoding and recall of naturalistic events. Reagh, Z. M., & Ranganath, C. (2023). Nature Communications, 14, 1279.

Temporal continuity shapes visual responses of macaque face patch neurons. Russ, B. E., Koyano, K. W., Day-Cooney, J., Perwez, N., & Leopold, D. A. (2023). Neuron, 111(6), 903-914.e3.

Dynamic attention signalling in V4: Relation to fast‐spiking/non‐fast‐spiking cell class and population coupling. Sachse, E. M., & Snyder, A. C. (2023). European Journal of Neuroscience, 57(6), 918–939.

A process model account of the role of dopamine in intertemporal choice. Soutschek, A., & Tobler, P. N. (2023). eLife, 12, e83734.

Model-Based Approach Shows ON Pathway Afferents Elicit a Transient Decrease of V1 Responses. St-Amand, D., & Baker, C. L. (2023). Journal of Neuroscience, 43(11), 1920–1932.

The connectome of an insect brain. Winding, M., Pedigo, B. D., Barnes, C. L., Patsolic, H. G., Park, Y., Kazimiers, T., … Zlatic, M. (2023). Science, 379(6636).

Spontaneous recovery of reward memory through active forgetting of extinction memory. Yang, Q., Zhou, J., Wang, L., Hu, W., Zhong, Y., & Li, Q. (2023). Current Biology, 33(5), 838-848.e3.