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 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:
❤️⭐ I digged out the following 4 papers from my "to read" list.
I am tending to pick #4. Any one you prefer? 🤔
❤️⭐ I digged out the following 4 papers from my "to read" list.
I am tending to pick #4. Any one you prefer? 🤔
But IMHO, the most exciting part is the existence of a neural intention axis.
This is a slap in the face for modern motor neuro, worth simplifying for better understanding.
Here are my notes and toy model:
But IMHO, the most exciting part is the existence of a neural intention axis.
This is a slap in the face for modern motor neuro, worth simplifying for better understanding.
Here are my notes and toy model:
🤓 NatComms paper corrections resubmitted.
🎉 Reached >17K people for the first time with something I love: making papers easy to understand.
👨🏽⚕️Dr confirms worrying issue was nothing to worry.
💸 ETH hits all time high.
But I need to tell you this:
🤓 NatComms paper corrections resubmitted.
🎉 Reached >17K people for the first time with something I love: making papers easy to understand.
👨🏽⚕️Dr confirms worrying issue was nothing to worry.
💸 ETH hits all time high.
But I need to tell you this:
I can hardly hold back my tears, especially with the last one.
I watch this video every once in a while to remind myself that working on brain chips is hard but worth it 🥲
I can hardly hold back my tears, especially with the last one.
I watch this video every once in a while to remind myself that working on brain chips is hard but worth it 🥲
This is a great new paper using Neuropixels from ~6500 neurons on 8 cortical and deep regions in mice.
Simplifying the space helps a lot to understand the idea.
Here is my toy model and notes:
This is a great new paper using Neuropixels from ~6500 neurons on 8 cortical and deep regions in mice.
Simplifying the space helps a lot to understand the idea.
Here is my toy model and notes:
However, maximum bandwidth won't be achieved this way, but by thick, new bundles of biological neurons.
Those are already being studied as biomaterial scaffolds for the recovery of spine injury.
However, maximum bandwidth won't be achieved this way, but by thick, new bundles of biological neurons.
Those are already being studied as biomaterial scaffolds for the recovery of spine injury.