HPC is known for storing maps of the environment but not so known for generating planned trajectories.
This paper proposes that recurrence in CA3 is crucial for planning.
A🧵with my toy model and notes:
#neuroskyence #compneuro #NeuroAI
2025 was huge for BCIs, but we saw many other trends.
Here are my top-10 trends of the year and what to watch for in 2026:
#neuroskyence #NeuroAI #NeuroTech
2025 was huge for BCIs, but we saw many other trends.
Here are my top-10 trends of the year and what to watch for in 2026:
#neuroskyence #NeuroAI #NeuroTech
2025 was huge for BCIs, but we saw many other trends.
Here are my top-10 trends of the year and what to watch for in 2026:
#neuroskyence #NeuroAI #NeuroTech
2025 was huge for BCIs, but we saw many other trends.
Here are my top-10 trends of the year and what to watch for in 2026:
#neuroskyence #NeuroAI #NeuroTech
Why? Recurrence is damn cheap.
This paper shows how the brain does it.
Striatum, cortex, HPC, BG, and thalamus, in recurrent loops with shortcuts.
A🧵with my toy model and notes:
#neuroskyence #compneuro #NeuroAI
Why? Recurrence is damn cheap.
This paper shows how the brain does it.
Striatum, cortex, HPC, BG, and thalamus, in recurrent loops with shortcuts.
A🧵with my toy model and notes:
#neuroskyence #compneuro #NeuroAI
Why? Recurrence is damn cheap.
This paper shows how the brain does it.
Striatum, cortex, HPC, BG, and thalamus, in recurrent loops with shortcuts.
A🧵with my toy model and notes:
#neuroskyence #compneuro #NeuroAI
Why? Recurrence is damn cheap.
This paper shows how the brain does it.
Striatum, cortex, HPC, BG, and thalamus, in recurrent loops with shortcuts.
A🧵with my toy model and notes:
#neuroskyence #compneuro #NeuroAI
HPC is known for storing maps of the environment but not so known for generating planned trajectories.
This paper proposes that recurrence in CA3 is crucial for planning.
A🧵with my toy model and notes:
#neuroskyence #compneuro #NeuroAI
HPC is known for storing maps of the environment but not so known for generating planned trajectories.
This paper proposes that recurrence in CA3 is crucial for planning.
A🧵with my toy model and notes:
#neuroskyence #compneuro #NeuroAI
This model tries to explain decision impairments by hyperactive D2 receptors
We can clarify the paper by building a mouse with schizophrenia.
A🧵with my toy model and notes:
#neuroskyence #compneuro #NeuroAI
This model tries to explain decision impairments by hyperactive D2 receptors
We can clarify the paper by building a mouse with schizophrenia.
A🧵with my toy model and notes:
#neuroskyence #compneuro #NeuroAI
If DA RPE is the emperor, this work SCREAMS it was running naked all the time.
This paper got quite some attention recently. Let's simplify it a bit.
A🧵with my toy model and notes:
#neuroskyence #compneuro #NeuroAI
If DA RPE is the emperor, this work SCREAMS it was running naked all the time.
This paper got quite some attention recently. Let's simplify it a bit.
A🧵with my toy model and notes:
#neuroskyence #compneuro #NeuroAI
This proposes a simple subspace architecture for planning.
A toy environment can clarify it.
A🧵with my toy model and notes:
#neuroskyence #compneuro #NeuroAI
This proposes a simple subspace architecture for planning.
A toy environment can clarify it.
A🧵with my toy model and notes:
#neuroskyence #compneuro #NeuroAI
This proposes a simple subspace architecture for planning.
A toy environment can clarify it.
A🧵with my toy model and notes:
#neuroskyence #compneuro #NeuroAI
This proposes a simple subspace architecture for planning.
A toy environment can clarify it.
A🧵with my toy model and notes:
#neuroskyence #compneuro #NeuroAI
Plus BCIs updates from:
- E11 Bio
- Morgan Stanley
- Neuralink
- New England Journal of Medicine
- Precision
- Figure
- Stanford, China and more.
Here's everything you need to know and my opinions:
Plus BCIs updates from:
- E11 Bio
- Morgan Stanley
- Neuralink
- New England Journal of Medicine
- Precision
- Figure
- Stanford, China and more.
Here's everything you need to know and my opinions:
This recent paper from Oxford shows how cortical layers may use a delay trick to learn to predict.
A simple illustration can explain the idea.
A🧵with my toy model and notes:
#neuroskyence #compneuro #NeuroAI
This recent paper from Oxford shows how cortical layers may use a delay trick to learn to predict.
A simple illustration can explain the idea.
A🧵with my toy model and notes:
#neuroskyence #compneuro #NeuroAI
This great recent paper from Oxford shows how cortical layers may use a clever delay trick to learn to predict.
A simple illustration can explain the main idea.
Here is my toy model and notes:
This great recent paper from Oxford shows how cortical layers may use a clever delay trick to learn to predict.
A simple illustration can explain the main idea.
Here is my toy model and notes:
This totally changes our knowledge of how RL works in the brain.
Instead of a new paper, I will dig in what could be the mysterious new mechanism of my last post.
Let's deep dive into theories of cortex:
This totally changes our knowledge of how RL works in the brain.
Instead of a new paper, I will dig in what could be the mysterious new mechanism of my last post.
Let's deep dive into theories of cortex:
This totally changes our knowledge of how RL works in the brain.
Instead of a new paper, I will dig in what could be the mysterious new mechanism of my last post.
Let's deep dive into theories of cortex:
This totally changes our knowledge of how RL works in the brain.
Instead of a new paper, I will dig in what could be the mysterious new mechanism of my last post.
Let's deep dive into theories of cortex:
DA in DLS ≠ RPE but = to stimulus-choice associations relevant to a learning strategy.
This can be beautifully explained as saddles in a loss landscape.
Here is my toy model and notes:
DA in DLS ≠ RPE but = to stimulus-choice associations relevant to a learning strategy.
This can be beautifully explained as saddles in a loss landscape.
Here is my toy model and notes:
Cognitive cortex also uses tuning, and latent variable span a non-linear manifold.
Unlocking this work requires understanding why PSTHs are bad.
Here is my toy model and notes:
Cognitive cortex also uses tuning, and latent variable span a non-linear manifold.
Unlocking this work requires understanding why PSTHs are bad.
Here is my toy model and notes:
I summarized everything from Paradromics, MIT Technology Review, UCL, Nature, Alterego, Meta, Neuralink, World Economic Forum, Duke University and more.
Here's everything you need to know and my opinions:
I summarized everything from Paradromics, MIT Technology Review, UCL, Nature, Alterego, Meta, Neuralink, World Economic Forum, Duke University and more.
Here's everything you need to know and my opinions:
Cognitive cortex also uses tuning, and latent variable span a non-linear manifold.
Unlocking this work requires understanding why PSTHs are bad.
Here is my toy model and notes:
Cognitive cortex also uses tuning, and latent variable span a non-linear manifold.
Unlocking this work requires understanding why PSTHs are bad.
Here is my toy model and notes:
Green-washing is a form of advertising that deceptively uses green PR to persuade the public that an organization's product is environmentally friendly.
Can we call this Brain-washing? 🤦🏾♀️
Green-washing is a form of advertising that deceptively uses green PR to persuade the public that an organization's product is environmentally friendly.
Can we call this Brain-washing? 🤦🏾♀️
I summarized everything from Paradromics, MIT Technology Review, UCL, Nature, Alterego, Meta, Neuralink, World Economic Forum, Duke University and more.
Here's everything you need to know and my opinions:
I summarized everything from Paradromics, MIT Technology Review, UCL, Nature, Alterego, Meta, Neuralink, World Economic Forum, Duke University and more.
Here's everything you need to know and my opinions:
This great recent work shows the striatum is required for skill learning but not skill use (through optogenetics).
Understanding the memory-making mechanism helps understand the core idea.
Here is my toy model and notes:
This great recent work shows the striatum is required for skill learning but not skill use (through optogenetics).
Understanding the memory-making mechanism helps understand the core idea.
Here is my toy model and notes:
This great recent work shows the striatum is required for skill learning but not skill use (through optogenetics).
Understanding the memory-making mechanism helps understand the core idea.
Here is my toy model and notes:
This great recent work shows the striatum is required for skill learning but not skill use (through optogenetics).
Understanding the memory-making mechanism helps understand the core idea.
Here is my toy model and notes: