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1Invariant object recognition with trace learning and multiple stimuli present during training by Simon M. Stringer and othersinvariant-object-recognition-with-trace-learning-and-multiple-stimuli-present-during-training-by-simon-m-stringer-and-others2026-10-242026-10-24
1Learning transform invariant object recognition in the visual system with multiple stimuli present during training by Simon M. Stringer and otherslearning-transform-invariant-object-recognition-in-the-visual-system-with-multiple-stimuli-present-during-training-by-simon-m-stringer-and-others2026-10-242026-10-24
1Unsupervised natural experience rapidly alters invariant object representation in visual cortex by Nuo Li and othersunsupervised-natural-experience-rapidly-alters-invariant-object-representation-in-visual-cortex-by-nuo-li-and-others2026-10-242026-10-24
1Functional compartmentalization and viewpoint generalization within the macaque face-processing system by Winrich A. Freiwald and othersfunctional-compartmentalization-and-viewpoint-generalization-within-the-macaque-face-processing-system-by-winrich-a-freiwald-and-others2026-10-242026-10-24
1Purkinje-cell plasticity and cerebellar motor learning are graded by complex-spike duration by Yan Yang and otherspurkinje-cell-plasticity-and-cerebellar-motor-learning-are-graded-by-complex-spike-duration-by-yan-yang-and-others2026-10-242026-10-24
1Responses of monkey dopamine neurons to reward and conditioned stimuli during successive steps of learning a delayed response task by Wolfram Schultz and othersresponses-of-monkey-dopamine-neurons-to-reward-and-conditioned-stimuli-during-successive-steps-of-learning-a-delayed-response-task-by-wolfram-schultz-and-others2026-10-242026-10-24
1A neural substrate of prediction and reward by Wolfram Schultz and othersa-neural-substrate-of-prediction-and-reward-by-wolfram-schultz-and-others2026-10-242026-10-24
1A causal link between prediction errors, dopamine neurons and learning by Elizabeth E. Steinberg and othersa-causal-link-between-prediction-errors-dopamine-neurons-and-learning-by-elizabeth-e-steinberg-and-others2026-10-242026-10-24
1Lesions of dorsolateral striatum preserve outcome expectancy but disrupt habit formation in instrumental learning by Henry H. Yin and otherslesions-of-dorsolateral-striatum-preserve-outcome-expectancy-but-disrupt-habit-formation-in-instrumental-learning-by-henry-h-yin-and-others2026-10-242026-10-24
1Model-based influences on humans' choices and striatal prediction errors by Nathaniel D. Daw and othersmodel-based-influences-on-humans-choices-and-striatal-prediction-errors-by-nathaniel-d-daw-and-others2026-10-242026-10-24
1Computational neuroscience examination paper A10967W1 (2022)computational-neuroscience-examination-paper-a10967w1-20222026-10-242026-10-24
1Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory by James L. McClelland and otherswhy-there-are-complementary-learning-systems-in-the-hippocampus-and-neocortex-insights-from-the-successes-and-failures-of-connectionist-models-of-learning-and-memory-by-james-l-mcclelland-and-others2026-10-242026-10-24
1Schemas and memory consolidation by Dorothy Tse and othersschemas-and-memory-consolidation-by-dorothy-tse-and-others2026-10-242026-10-24
1Performance-optimized hierarchical models predict neural responses in higher visual cortex by Daniel L. K. Yamins and othersperformance-optimized-hierarchical-models-predict-neural-responses-in-higher-visual-cortex-by-daniel-l-k-yamins-and-others2026-10-242026-10-24
1Deep Supervised, but Not Unsupervised, Models May Explain IT Cortical Representation by Seyed-Mahdi Khaligh-Razavi and othersdeep-supervised-but-not-unsupervised-models-may-explain-it-cortical-representation-by-seyed-mahdi-khaligh-razavi-and-others2026-10-242026-10-24
1Unsupervised neural network models of the ventral visual stream by Chengxu Zhuang and othersunsupervised-neural-network-models-of-the-ventral-visual-stream-by-chengxu-zhuang-and-others2026-10-242026-10-24
1Evidence that recurrent circuits are critical to the ventral stream's execution of core object recognition behavior by Kohitij Kar and othersevidence-that-recurrent-circuits-are-critical-to-the-ventral-stream-s-execution-of-core-object-recognition-behavior-by-kohitij-kar-and-others2026-10-242026-10-24
1ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness by Robert Geirhos and othersimagenet-trained-cnns-are-biased-towards-texture-increasing-shape-bias-improves-accuracy-and-robustness-by-robert-geirhos-and-others2026-10-242026-10-24
1Hippocampal place-cell sequences depict future paths to remembered goals by Brad E. Pfeiffer and othershippocampal-place-cell-sequences-depict-future-paths-to-remembered-goals-by-brad-e-pfeiffer-and-others2026-10-242026-10-24
1Awake hippocampal sharp-wave ripples support spatial memory by Shantanu P. Jadhav and othersawake-hippocampal-sharp-wave-ripples-support-spatial-memory-by-shantanu-p-jadhav-and-others2026-10-242026-10-24

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Pinned article: Introduction to the OurBigBook Project

Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
Video 1.
Intro to OurBigBook
. Source.
We have two killer features:
  1. topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculus
    Articles of different users are sorted by upvote within each article page. This feature is a bit like:
    • a Wikipedia where each user can have their own version of each article
    • a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
    This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.
    Figure 1.
    Screenshot of the "Derivative" topic page
    . View it live at: ourbigbook.com/go/topic/derivative
    Video 2.
    OurBigBook Web topics demo
    . Source.
  2. local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:
    This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
    Figure 2.
    You can publish local OurBigBook lightweight markup files to either OurBigBook.com or as a static website
    .
    Figure 3.
    Visual Studio Code extension installation
    .
    Figure 4.
    Visual Studio Code extension tree navigation
    .
    Figure 5.
    Web editor
    . You can also edit articles on the Web editor without installing anything locally.
    Video 3.
    Edit locally and publish demo
    . Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension.
    Video 4.
    OurBigBook Visual Studio Code extension editing and navigation demo
    . Source.
  3. https://raw.githubusercontent.com/ourbigbook/ourbigbook-media/master/feature/x/hilbert-space-arrow.png
  4. Infinitely deep tables of contents:
    Figure 6.
    Dynamic article tree with infinitely deep table of contents
    .
    Descendant pages can also show up as toplevel e.g.: ourbigbook.com/cirosantilli/chordate-subclade
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact
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