The convergence

There used to be the concept of a “singularity”. The idea was that computers would become smarter than humans and start to replace them. Even the idea that humanity would be substituted by silicon-based computing machines (robots) was suggested. Against that two years ago we set the concept of “The convergence”. This assumes that biological Read more..

Read More Apr 6th, 2024 | g.scheler

Interview with Gabriele Scheler: Neuro AI. Will it be the future?

Here is an interview concerning the current AI and generative AI waves, and their relation to neuroscience. We propose solutions based on new technology from neuroAI – which includes humans ability for reasoning, thought, logic, mathematics, proof etc. – and are therefore poorly modeled by data analysis on its own. Some of our work – Read more..

Read More Mar 26th, 2024 | g.scheler

In Vivo Analysis of Heterogeneous Extracellular Vesicles Using a Red-Shifted Bioluminescence Resonance Energy Transfer Reporter Protein

Check out a new paper from scientific director Michael Bachmann, MD.

Read More May 5th, 2023 | g.scheler

Another blog entry on medium

Another blog entry on medium: “Engineering the brain”. There was no intelligent design, and as a result, body organs do not resemble machines. Once we start building machines like body organs — with utility functions, self-organization and cells as building blocks, we can mesh engineering and evolutionary principles to arrive at better organisms.

Read More Jan 21st, 2023 | g.scheler

Sketch of a novel approach to a neural model

We present a novel model of neuroplasticity in the form of a horizontal-vertical integration model. The horizontal plane consists of a network of neurons connected by adaptive transmission links. This fits with standard computational neuroscience approaches. Each individual neuron also has a vertical dimension with internal parameters steering the external membrane-expressed parameters. These determine neural Read more..

Read More Sep 14th, 2022 | g.scheler

Determining optimal combination regimens for patients with multiple myeloma

Here is an interesting paper from our board member Dr. Helen Moore.

Read More Aug 1st, 2022 | g.scheler

Cortical Models

We started a collaboration on the topic of cortical microcircuits with Fred Narcross with the goal of investigating functional principles outside of biological implementation. This contributed to a new paper on neural models.

Read More Feb 2nd, 2022 | g.scheler

Models of Neural Plasticity

Our work on basing models of neural plasticity on cellular principles continues to advance. With the help of Michael Wheeldon, B.Sc., as the current recipient of a research scholarship we anticipate two publications at the beginning of the new year. One publication will focus on outlining a new type of memory model using both horizontal Read more..

Read More Dec 2nd, 2021 | g.scheler

Pharmacodynamics: Problems and Pitfalls

A systematic overview of qualitative and quantitative model evaluation methods with many detailed references. This is applied and substantiated with case studies, and most interestingly, with an analysis of what can go wrong. Dynamic models are highly sensitive to uncertainties and we need to be aware of the difficulties that can arise from that. S. Read more..

Read More Nov 18th, 2021 | g.scheler

Personalized Classifiers from Ensemble learning with Gaussian Process

Personalized Federated Learning with Gaussian Processes Idan Achituve, Aviv Shamsian, Aviv Navon, Gal Chechik, Ethan Fetaya This is a theoretical work for personalized learning with limited data. It was shown that the disadvantage of restricted exposure for each “person” or client can be remediated by learning a shared kernel function across all clients. This is Read more..

Read More Jun 29th, 2021 | g.scheler