Skip to main content

Energy Manifold Natural Gradient Descent: From Riemannian Optimization to Modern Neuroscience, NeuroAI and Quantum Physics

When Geometry, Energy, Artificial Intelligence and Neuroscience Converge Modern Artificial Intelligence is rapidly moving beyond the idea that learning simply means minimizing an error function. Increasingly, researchers are asking a deeper question: what is the structure of the space in which learning takes place? This question becomes particularly important when the system being modelled is constrained, nonlinear, dynamic, or governed by physical principles. A recent work titled “Energy Manifold Natural Gradient Descent: Riemannian Optimization for Neural PDE Solvers” , by Zhangyong Liang and Huanhuan Gao, introduces Energy Manifold Natural Gradient Descent (EMNGD) , a mathematical framework that extends energy-based natural-gradient optimization from unconstrained Euclidean parameter spaces to constrained Riemannian parameter manifolds . At its core, the framework proposes a simple but powerful principle: An optimization algorithm should not only determine how to reduce error; it sh...

FUNCTIONAL SCREEN FOR SYNAPTIC ORGANIZERS: IDENTIFICATION OF TRKC-PTPr AND SLITRK, CANDIDATE GENES IN NEUROPSYCHIATRIC DISORDERS

A functional screen for synaptic organizers identified TRKC-PTPr and SLITRK as candidate genes implicated in neuropsychiatric disorders. Here is an overview of these candidate genes and their potential roles in synaptic organization and neuropsychiatric conditions:


1.TRKC-PTPr (Tyrosine Receptor Kinase C-Protein Tyrosine Phosphatase Receptor):

o    Function: TRKC-PTPr is a complex formed by the tyrosine receptor kinase C (TRKC) and protein tyrosine phosphatase receptor (PTPr) that plays a role in synaptic organization and neuronal signaling.

o Synaptic Organization: TRKC-PTPr is involved in regulating synaptic adhesion and connectivity, contributing to the formation and maintenance of synaptic structures critical for proper neuronal communication.

o Neuropsychiatric Implications: Dysregulation of TRKC-PTPr signaling may disrupt synaptic organization, leading to synaptic deficits observed in neuropsychiatric disorders such as schizophrenia, autism spectrum disorders, and mood disorders.

2.  SLITRK (Slit and NTRK-Like Family Member):

o    Function: SLITRK proteins are involved in synaptic development, axon guidance, and neuronal connectivity through interactions with various synaptic proteins and signaling pathways.

o    Synaptic Organization: SLITRK proteins play a role in organizing synaptic structures, modulating synaptic plasticity, and regulating neurotransmitter release at synapses.

o Neuropsychiatric Implications: Mutations or alterations in SLITRK genes have been associated with neuropsychiatric disorders, including Tourette syndrome, obsessive-compulsive disorder (OCD), and attention-deficit/hyperactivity disorder (ADHD), highlighting their importance in synaptic function and neuropsychiatric pathophysiology.

3. Functional Screen for Synaptic Organizers:

o Methodology: The functional screen likely involved high-throughput screening approaches to identify genes involved in synaptic organization, synaptogenesis, and synaptic maintenance.

o    Significance: Identification of TRKC-PTPr and SLITRK as candidate genes suggests their critical roles in orchestrating synaptic connectivity, neuronal communication, and circuit formation in the brain.

o Therapeutic Potential: Understanding the functions of these synaptic organizers may offer insights into novel therapeutic targets for neuropsychiatric disorders by targeting synaptic organization and connectivity to restore proper brain function and alleviate symptoms associated with synaptic dysfunction.

By elucidating the roles of TRKC-PTPr and SLITRK in synaptic organization and their implications in neuropsychiatric disorders, researchers aim to uncover the molecular mechanisms underlying synaptic deficits in these conditions and explore potential therapeutic strategies targeting synaptic organizers to restore normal synaptic function and improve outcomes for individuals with neuropsychiatric disorders.

 

Comments

Popular posts from this blog

Review Settings of EEG

The review settings of an EEG recording refer to the parameters that can be adjusted to optimize the visualization and interpretation of electrical brain activity. Here is an overview of the key review settings in EEG analysis: 1.       Amplification (Gain/Sensitivity) : o Definition : Amplification, also known as gain or sensitivity, determines how much the electrical signals from the brain are amplified before being displayed on the EEG recording. o Measurement : Typically measured in microvolts per millimeter (μV/mm). o Impact : Adjusting the amplification setting can affect the visibility of high-amplitude and low-amplitude activity. High-amplitude activity may require vertical compression to fit within the display range, while low-amplitude activity may require lower sensitivity settings for better visualization. 2.      Frequency Filtering : o Bandpass : The frequency range within which EEG signals are analyzed. Common settings include ...

Cancellous Bone

Cancellous bone, also known as trabecular or spongy bone, is the other main type of bone tissue found in the human skeleton alongside cortical bone. Cancellous bone has a porous and lattice-like structure, providing flexibility, shock absorption, and a site for hematopoiesis (blood cell formation). Here are key features and characteristics of cancellous bone: 1.     Structure : o     Trabeculae : Cancellous bone is composed of a network of thin, bony trabeculae that form an interconnected lattice structure. o     Bone Marrow : The spaces between trabeculae contain red bone marrow, which is involved in the production of blood cells (hematopoiesis). o     Less Compact : Cancellous bone is less dense and compact than cortical bone, with a higher surface area-to-volume ratio. 2.     Composition : o     Trabecular Bone : The trabeculae are made up of lamellae, osteocytes, and canaliculi similar to corti...

Anatomical Classification of Bones

Bones in the human body can be classified into five main anatomical categories based on their shape and structure. These classifications provide insights into the functions and characteristics of different bone types. Here are the five anatomical classifications of bones: 1.     Long Bones : o     Description : Long bones are characterized by their elongated shape, with a shaft (diaphysis) and two expanded ends (epiphyses). o     Examples : Femur, humerus, radius, ulna, tibia, fibula. o     Function : Long bones provide support, leverage, and mobility. They are essential for body movement and weight-bearing activities. 2.     Short Bones : o     Description : Short bones are roughly cube-shaped or have a similar length and width, providing stability and support. o     Examples : Carpals (wrist bones), tarsals (ankle bones). o     Function : Short bones contribute to we...

Energy Manifold Natural Gradient Descent: From Riemannian Optimization to Modern Neuroscience, NeuroAI and Quantum Physics

When Geometry, Energy, Artificial Intelligence and Neuroscience Converge Modern Artificial Intelligence is rapidly moving beyond the idea that learning simply means minimizing an error function. Increasingly, researchers are asking a deeper question: what is the structure of the space in which learning takes place? This question becomes particularly important when the system being modelled is constrained, nonlinear, dynamic, or governed by physical principles. A recent work titled “Energy Manifold Natural Gradient Descent: Riemannian Optimization for Neural PDE Solvers” , by Zhangyong Liang and Huanhuan Gao, introduces Energy Manifold Natural Gradient Descent (EMNGD) , a mathematical framework that extends energy-based natural-gradient optimization from unconstrained Euclidean parameter spaces to constrained Riemannian parameter manifolds . At its core, the framework proposes a simple but powerful principle: An optimization algorithm should not only determine how to reduce error; it sh...

Composition of Bone Tissue

Bone tissue is a complex and dynamic connective tissue composed of various components that contribute to its structure, strength, and functionality. The composition of bone tissue includes: 1.     Cells : o     Osteoblasts : Bone-forming cells responsible for synthesizing and depositing the organic matrix of bone. o     Osteocytes : Mature bone cells embedded in the bone matrix, involved in maintaining bone tissue and responding to mechanical stimuli. o     Osteoclasts : Bone-resorbing cells responsible for breaking down and remodeling bone tissue. 2.     Organic Matrix : o     Collagen Fibers : Type I collagen is the predominant protein in the organic matrix of bone, providing flexibility, tensile strength, and resilience to bone tissue. o     Non-Collagenous Proteins : Include osteocalcin, osteopontin, and osteonectin, which play roles in mineralization, cell adhesion, and matrix o...