Lifeboat Foundation

MRI scans of long COVID patients with brain fog suggest that the blood brain barrier may be leaky.

Saddened by the news of Prof. Daniel Dennett’s passing. a brilliant philosopher with with such great influence in cognitive science. It’s such a great loss.

Daniel Dennett, professor emeritus of philosophy at Tufts University, well-known for his work in philosophy of mind and a wide range of other philosophical areas, has died.

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How the neocortex works is a mystery. In this paper we propose a novel framework for understanding its function. Grid cells are neurons in the entorhinal cortex that represent the location of an animal in its environment. Recent evidence suggests that grid cell-like neurons may also be present in the neocortex. We propose that grid cells exist throughout the neocortex, in every region and in every cortical column. They define a location-based framework for how the neocortex functions. Whereas grid cells in the entorhinal cortex represent the location of one thing, the body relative to its environment, we propose that cortical grid cells simultaneously represent the location of many things. Cortical columns in somatosensory cortex track the location of tactile features relative to the object being touched and cortical columns in visual cortex track the location of visual features relative to the object being viewed. We propose that mechanisms in the entorhinal cortex and hippocampus that evolved for learning the structure of environments are now used by the neocortex to learn the structure of objects. Having a representation of location in each cortical column suggests mechanisms for how the neocortex represents object compositionality and object behaviors. It leads to the hypothesis that every part of the neocortex learns complete models of objects and that there are many models of each object distributed throughout the neocortex. The similarity of circuitry observed in all cortical regions is strong evidence that even high-level cognitive tasks are learned and represented in a location-based framework.

The human neocortex learns an incredibly complex and detailed model of the world. Each of us can recognize 1000s of objects. We know how these objects appear through vision, touch, and audition, we know how these objects behave and change when we interact with them, and we know their location in the world. The human neocortex also learns models of abstract objects, structures that don’t physically exist or that we cannot directly sense. The circuitry of the neocortex is also complex. Understanding how the complex circuitry of the neocortex learns complex models of the world is one of the primary goals of neuroscience.

Vernon Mountcastle was the first to propose that all regions of the neocortex are fundamentally the same. What distinguishes one region from another, he argued, is mostly determined by the inputs to a region and not by differences in intrinsic circuitry and function. He further proposed that a small volume of cortex, a cortical column, is the unit of replication (Mountcastle, 1978). These are compelling ideas, but it has been difficult to identify what a column could do that is sufficient to explain all cognitive abilities. Today, the most common view is that the neocortex processes sensory input in a series of hierarchical steps, extracting more and more complex features until objects are recognized (Fukushima, 1980; Riesenhuber and Poggio, 1999).

A new study published in the Journal of Neuroscience indicates that the sense of smell is significantly influenced by cues from other senses, whereas the senses of sight and hearing are much less affected.

A popular theory of the brain holds that its main function is to predict what will happen next, so it reacts mostly to unexpected events. Most research on this topic, called predictive coding, has only focused on what we see, but no one knows if the different senses, such as smell, work in the same way.

To figure out more about how smell relates to how we handle different sensory impressions, the researchers conducted a study with three experiments, two behavioral experiments, and one experiment using the brain imaging method fMRI at Stockholm University Brain Imaging Centre (SUBIC).

Cannabinol (CBN) is a chemical found in cannabis that exhibits milder psychoactive properties than most cannabis chemicals, though research pertaining to its medical applications remains limited. Now, a team of researchers led by The Salk Institute for Biological Studies have published a study in Redox Biology that addresses the potential for CBN to serve as a method for neurological disorders, including traumatic brain injuries, Parkinson’s disease, and Alzheimer’s disease.

For the study, the researchers produced four CBN analogs that exhibited greater neuroprotective capabilities compared to the traditional CBN molecule and tested them on Drosophila fruit flies. In the end, the researchers discovered these CBN analogs possessed neuroprotective capabilities that surpassed traditional CBN molecules, including the treating of traumatic brain injuries. While not tested during this study, these CBN analogs could be used to also treat a myriad of neurological disorders, including Parkinson’s disease, Alzheimer’s disease, and Huntington’s disease.

“Our findings help demonstrate the therapeutic potential of CBN, as well as the scientific opportunity we have to replicate and refine its drug-like properties,” said Dr. Pamela Maher, who is a research professor in the Cellular Neurobiology Laboratory at Salk and a co-author on the study. “Could we one day give this CBN analog to football players the day before a big game, or to car accident survivors as they arrive in the hospital? We’re excited to see how effective these compounds might be in protecting the brain from further damage.”

Mount Sinai researchers, in collaboration with scientists at The Rockefeller University, have uncovered a mechanism in the brain that allows cocaine and morphine to take over natural reward processing systems. Published online in Science on April 18, these findings shed new light on the neural underpinnings of drug addiction and could offer new mechanistic insights to inform basic research, clinical practice, and potential therapeutic solutions.

Although schizophrenia can be a very complex illness some new studies show that some major genetic factors could be the cause and then cured much easier through gene therapy.

Summary: Researchers leveraged cutting-edge technology to gain insights into schizophrenia’s neurodevelopmental origins. The researchers grew brain organoids from patients’ skin cells, finding persistent axonal disruptions in those with schizophrenia.

In another study, researchers zeroed in on a schizophrenia risk gene, CYFIP1, revealing its potential role in brain immune cells called microglia and their influence on synaptic pruning – a crucial process for brain health.

The extended mind — For decades, philosophers have debated the borders of personhood: where does our mind end, and the external world begin? On a simple level, you might assume that our minds rest within our brains and bodies. However, some philosophers have proposed that it’s more complicated than that.

When we merge mind and machine, the traditional borders of the self dissipate, says philosopher Dvija Mehta.