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We’ve added a graphical interface to the neuroevolution framework in #Simbrain. Watch as genes mutate and see how this impacts fitness. In this example, two networks controlling two agents are evolved and fitness corresponds to how much they’ve eaten.
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A pigeon goes in, a classification comes out! Simbrain now supports deep networks and CNNs. As activity propagates through the network, progressively more abstract features are formed, culminating in a representation sufficient for classification in the final layer.
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Excited to see what consciousness theorists might do with @JeffYoshimi simbrain tool Even more excited for theorists to say: if only the tool had XYZ greater functionality/fidelity/resolution/etc, I'd then be able to do ABC specific extra exploration...
I’m thrilled to announce the release of #Simbrain 4, which I have been working on for over 10 years! For the last five of those years I have met almost every weeknight with Yulin Li and we have pair-programmed our way through the entire app, adding hundreds of new features. 1/
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The video at simbrain.net shows some of the main new features. The attached pictures show: a chaotic attractor, a simple retina reacting to a flower input, and part of a transformer model. A full discussion of what’s new in Simbrain 4 is at docs.simbrain.net/docs/whats…
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I’m thrilled to announce the release of #Simbrain 4, which I have been working on for over 10 years! For the last five of those years I have met almost every weeknight with Yulin Li and we have pair-programmed our way through the entire app, adding hundreds of new features. 1/
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I stumbled on what I believe is an “Aizawa Attractor”, a chaotic attractor in which states travel from one side to another of an ellipsoid along spiral trajectories. It showcases the visualization capabilities of #Simbrain and also shows how discovery is facilitated by Simbrain.
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I wanted to share this cool thank you card from Suzanne Garcia. She took my class on neural networks and made a card describing her college development in the style of a #Simbrain network.
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Check out my new website design! 🎉 We’ve embedded #Simbrain right in the browser—move nodes, tweak activations, add connections, and more! Try it out at jeffyoshimi.net. Hover over my name and click ? for commands. #AI #NeuralNetworks
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Hi everyone, test, test is this working? I’m stepping up my social media game with a new tool. Stay tuned for more regular posts in these categories: #Simbrain, dynamical systems, phenomenology, and serious games. Bonus point if you can figure out what movie this is from...
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What's cool is we have genes coding not just for traditional parameters like bias and weight strength, but also for more abstract things like spatial connectivity patterns and update rules (and simbrain 4 has lots of each).
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It's been a hectic few weeks and so I am late posting about this cool poster Kanly Thao made as part of uroc.ucmerced.edu/. He evolved a #simbrain network for optimal resource pursuit (get food when hungry, but don't waste energy). Shown here is a top performer.
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Replying to @davideagleman
A #simbrain demo from the paper @davideagleman cites:

A #Simbrain reproduction of McCulloch and Pitt's (1943) account of the heat illusion. Fun to see the model come alive, but also reveals what I suspect was an unintended consequence of the model. 1/5.
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Getting close on this old challenge. Sure the cows are grazing backwards, but it works! Group fitness is based (roughly) on number of dandelions jointly eaten. A first demo of multi-agent evolution in #Simbrain.1/
Game on! Now on my todo list: build a toy model of cow grazing in #simbrain. Target data right outside the window.
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#Simbrain 3.06 is out (simbrain.net/Downloads/downl…). Even though most of my current work is on 4.0 (beta by Fall, I hope?), I am still actively maintaining 3. A few highlights. 1/
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Implementation of @jbenfalandays' object-tracking network in #Simbrain. An agent with an array of sensors and 2 effectors learns to track cheese rotating around it. Shown is a run from a random initial state. Within a few rotations it succeeds! 1/n
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Amazing how compelling Braitenberg vehicles can be, despite their simplicity. Shown here is preliminary work modeling isopods in #Simbrain with Peter Hinow and Spencer Franks. Just wire up a pursuer, add a dash of noise, and voila!
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A #Simbrain reproduction of McCulloch and Pitt's (1943) account of the heat illusion. Fun to see the model come alive, but also reveals what I suspect was an unintended consequence of the model. 1/5.
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First look at distributional semantics in #Simbrain. Words mapped to vectors using multi-dimensional scaling. The MLK speech has a spiral structure. Brand new, could be artifacts, but a promising start! With Ellis Cain from the @raryskin lab.
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Let's go Stephanie! Amazing work on applied cognitive science and #UX design with Simbrain!
Congratulations to @gaminoksteph for being among the first to complete a degree in @UCMCogSci 's new Master's in Cognitive & Information Sciences program! 🥳 Her thesis was a UX evaluation of #Simbrain. 1/
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She also evaluated a range of ideas for how to visually represent machine learning classifiers in Simbrain 4, and the results will no doubt improve the interface. Thanks Stephanie!
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