Alex Naka
The brain's not gonna solve itself... I mean technically it will but you get what I'm saying. Adesnik lab PhD student
Last synced from Twitter Not synced yet
Unified neural dynamics of decisions and actions in the cerebral cortex and basal ganglia
bioRxiv 91d 2 tweets
Several theoretical models suggest that deciding about actions and executing them are not completely distinct neural mechanisms but instead two modes of an integrated dynamical system. Here, we investigate this proposal by examining how neural...
1
Alex Naka Unified neural dynamics of decisions and actions in the cerebral cortex and basal ganglia 91d
Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations
bioRxiv 92d 2 tweets
Modern recording techniques can generate large-scale measurements of multiple neural populations over extended time periods. However, it remains a challenge to model non-stationary interactions between high-dimensional populations of neurons. To...
1
Alex Naka Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations 92d
Molecular and genetic approaches for assaying human cell type synaptic connectivity
bioRxiv 99d 2 tweets
Prospective and post-hoc molecular identification of specific neuron types is essential for functional studies of cellular and synaptic properties. We demonstrate a thick brain slice mFISH technique applied to multi-patch-clamp recordings in human...
1
Alex Naka Well this is pretty sweet. Multi-patch connectivity testing + mFISH + labeling cell types with AAV in human tissue Molecular and genetic approaches for assaying human cell type synaptic connectivity 98d
Multiscale and multimodal reconstruction of cortical structure and function
bioRxiv 101d 2 tweets
We present a semi-automated reconstruction of L2/3 mouse primary visual cortex from 3 million cubic microns of electron microscopic images, including pyramidal and inhibitory neurons, astrocytes, microglia, oligodendrocytes and precursors,...
1
Alex Naka Multiscale and multimodal reconstruction of cortical structure and function 102d
Generalized paradoxical effects in excitatory/inhibitory networks
bioRxiv 102d 1 tweets
An inhibition-stabilized network (ISN) is a network of excitatory and inhibitory cells at a stable fixed point of firing rates for a given input, for which the excitatory subnetwork would be unstable if inhibitory rates were frozen at their fixed...
1
Alex Naka Generalized paradoxical effects in excitatory/inhibitory networks 102d
Rapid purification and metabolomic profiling of synaptic vesicles from mammalian brain
eLife 103d 2 tweets
1
Alex Naka Rapid purification and metabolomic profiling of synaptic vesicles from mammalian brain 103d
eIF2α controls memory consolidation via excitatory and somatostatin neurons
Nature 108d 6 tweets
Stimulation of de novo protein synthesis in both excitatory and inhibitory, somatostatin-expressing neurons in the mouse hippocampus enhances memory consolidation.
1
Alex Naka eIF2α controls memory consolidation via excitatory and somatostatin neurons 108d
Innate and plastic mechanisms for maternal behaviour in auditory cortex
Nature 108d 5 tweets
The onset of maternal behaviour in mice involves an interaction between intrinsic tuning of auditory cortical neurons and experience-dependent plasticity.
2
Alex Naka Innate and plastic mechanisms for maternal behaviour in auditory cortex 108d
Representational drift in the mouse visual cortex
bioRxiv 109d 2 tweets
Neuronal representations in the hippocampus and related structures gradually change over time despite no changes in the environment or behavior. The extent to which such representational drift occurs in sensory cortical areas and whether the...
1
Alex Naka Representational drift in the mouse visual cortex 109d
Cellular Anatomy of the Mouse Primary Motor Cortex
bioRxiv 112d 2 tweets
An essential step toward understanding brain function is to establish a cellular-resolution structural framework upon which multi-scale and multi-modal information spanning molecules, cells, circuits and systems can be integrated and interpreted....
4
Alex Naka Cellular Anatomy of the Mouse Primary Motor Cortex 112d
PsychRNN: An Accessible and Flexible Python Package for Training Recurrent Neural Network Models on Cognitive Tasks
bioRxiv 114d 1 tweets
Task-trained artificial recurrent neural networks (RNNs) provide a computational modeling framework of increasing interest and application in computational, systems, and cognitive neuroscience. RNNs can be trained, using deep learning methods, to...
1
Alex Naka PsychRNN: An Accessible and Flexible Python Package for Training Recurrent Neural Network Models on Cognitive Tasks 114d
Representational drift in primary olfactory cortex
bioRxiv 120d 3 tweets
Representations of the external world in sensory cortices may define the identity of a stimulus and should therefore vary little over the life of the organism. In the olfactory system the primary olfactory cortex, piriform, is thought to determine...
2
Alex Naka Representational drift in primary olfactory cortex 120d
Primate neuronal connections are sparse as compared to mouse
bioRxiv 121d 3 tweets
Detailing how primate and mouse neurons differ is critical to understanding how brains evolve and for translating findings from mice into humans. However, scarce data about neuronal connections, particularly in primates, makes such comparisons...
2
Alex Naka Primate neuronal connections are sparse as compared to mouse 120d
A cortex-like canonical circuit in the avian forebrain
Science 121d 11 tweets
Mammals can be very smart. They also have a brain with a cortex. It has thus often been assumed that the advanced cognitive skills of mammals are closely related to the evolution of the cerebral cortex. However, birds can also be very smart, and...
2
Alex Naka A cortex-like canonical circuit in the avian forebrain 121d
Diesel2p mesoscope with dual independent scan engines for flexible capture of dynamics in distributed neural circuitry
bioRxiv 125d 2 tweets
Imaging the activity of neurons that are widely distributed across brain regions deep in scattering tissue at high speed remains challenging. Here, we introduce an open-source system with Dual Independent Enhanced Scan Engines for Large...
1
Alex Naka Diesel2p mesoscope with dual independent scan engines for flexible capture of dynamics in distributed neural circuitry 124d
Array programming with NumPy
Nature 129d 19 tweets
NumPy is the primary array programming library for Python; here its fundamental concepts are reviewed and its evolution into a flexible interoperability layer between increasingly specialized computational libraries is discussed.
1
Alex Naka 🐍🐍🐍🐍🐍🐍🐍🐍🐍🐍 Array programming with NumPy 129d
A comparison of neuronal population dynamics measured with calcium imaging and electrophysiology
Journals.plos.org 130d 4 tweets
Author summary Many studies in neuroscience revolve around understanding the patterns of activity of neurons and their relation to behavior. To be able to address such questions one must first record the activity of neurons. Broadly speaking, two...
1
Alex Naka A comparison of neuronal population dynamics measured with calcium imaging and electrophysiology 130d
Stability by gating plasticity in recurrent neural networks
bioRxiv 134d 1 tweets
With Hebbian learning 'who fires together wires together', well-known problems arise. On the one hand, plasticity can lead to unstable network dynamics, manifesting as run-away activity or silence. On the other hand, plasticity can erase or...
1
Alex Naka Stability by gating plasticity in recurrent neural networks 134d
Beyond the brain: towards a mathematical modeling of emotions
arXiv.org 136d 1 tweets
Emotions are a central key for understanding human beings and of fun-damental importance regarding their impact in human and animal behaviors.They have been for a long time a subject of study for various scholars includ-ing in particular...
1
Alex Naka ironically, I feel like I do not have the tools to describe how this article makes me feel Beyond the brain: towards a mathematical modeling of emotions 136d
Cell-Type-Specific Outcome Representation in the Primary Motor Cortex
Neuron 212d 5 tweets
Monitoring outcome is critical for acquiring skilled movements. Levy et al. describe activity in subpopulations of layer 2–3 motor cortex pyramidal neurons that distinctly report outcomes of previous successes and failures independent of kinematics...
1
Alex Naka this looks really cool, looking forward to reading in depth Cell-Type-Specific Outcome Representation in the Primary Motor Cortex 136d