Sarah "Sass" Burn’s Post

The concept of left and right brain refers to the popular idea that the human brain is divided into two hemispheres,each with distinct functions and features. The left hemisphere of the brain is often associated with analytical and logical thinking as well as language processing.It is responsible for tasks such as mathematics,reasoning , critical thinking and verbal communication.The left brain is known for its linear and organised approach to problem - solving and tends to focus on details and specifics. The right hemisphere of the brain is linked to creativity , intuition and holistic thinking .It is associated with artistic and imaginative abilities,spatial awareness,pattern recognition,and non verbal communication.The right brain takes more holistic approach to problem -solving,seeing the big picture rather than focusing on details. It is important to know that while there are certain functional differences between the two hemispheres,the brain operates as a highly interconnected system and most cognitive processes involve the collaboration of both hemispheres While individuals may have certain strengths or pre ference in using one side of their brain over the other,the idea that people are strictly "left brained"or "right brained" has been debunked by scientific research.The brain. is a complex organ,and it's functions are distributed across both hemispheres,working together to support our cognitive abilities Happy new month busy brains😊. A lovely morning to you all.

As a Korean American, this article on the bilingual advantage in delaying Alzheimer's onset resonates deeply with me. I've noticed that constantly using two languages fosters cognitive flexibility and problem-solving skills crucial in caregiving contexts. For those who are still learning, intermittent exposure to a second language later in life can still confer cognitive benefits. It is never too late to start learning a different language, and engaging your brain through this neural network can strengthen the connection between language, cognition, and overall well-being! #bilingual #careyaya #alzheimers https://lnkd.in/gNzy-Ark

We know language serves as a communication function for us to exchange ideas and thoughts with others. But there is also the the hypothesis that language is required for thinking and reasoning. In other words language serves as a substrate for thinking and reasoning involved in various cognitive tasks. Is that true? This has been a controversial topic. According to brain fMRI studies reported in this paper, language is a communication tool disassociated with thoughts. Language production and comprehension is facilitated by some inter connected areas of the brain left hemisphere. These brain areas are independent of input output modalities of language. Thoughts encompass our knowledge about the world and the reasoning over this knowledge. Thinking engages specific areas of the brain. Thinking may involve diverse cognitive tasks such as executive function, novel problem solving, mathematics etc. According to their fMRI study, there is no overlap between brain regions responsible for language comprehension, production and thinking, reasoning. As further corroboration of this claim, people with linguistic impairment exhibit abilities to engage in various humans reasoning tasks. Conversely, people with intellectual disabilities have been found to have normal linguistic capabilities. So thinking and reasoning is not predicated on language. However for the complete cognitive task of communication whether language comprehension or generation, language and thought work in tandem. #ai #neuroscience #language #brain #thinking #reasoning #comprehension #production #llm https://lnkd.in/g9EKutMR

#AIRevolution In the video below, I uploaded a research paper that explores leveraging Large Language Models (LLMs) in the field of cognitive psychology. The model transformed the paper into a podcast discussion using #AI-generated voices (none of the voices you hear are human!). #AboutThePaper:   The research paper, titled *"Mind Meets Machine: Cognitive Psychology Insights Using GPT-4,"* aims to evaluate GPT-4's capabilities in analyzing tasks traditionally conducted by cognitive psychology experts. The study is based on four standard test datasets. #PaperContents:   Cognitive psychology seeks to understand how humans learn, acquire knowledge, remember, and apply it.   - It examines mental processes such as perception, attention, memory, language, problem-solving, and decision-making. - Large Language Models (LLMs) like GPT-4 have become increasingly advanced and capable of performing complex tasks. - A comprehensive evaluation of GPT-4's abilities in cognitive psychology tasks using standard datasets is essential. #Methodology:   - Four datasets were used to assess GPT-4:  1. **CommonsenseQA**: Testing logical reasoning  2. **MATH**: Assessing mathematical problem-solving skills  3. **SuperGLUE**: A set of diverse language tasks  4. **HANS**: Testing linguistic reasoning --

(Ir)rationality and cognitive biases in large language models Abstract Do large language models (LLMs) display rational reasoning? LLMs have been shown to contain human biases due to the data they have been trained on; whether this is reflected in rational reasoning remains less clear. In this paper, we answer this question by evaluating seven language models using tasks from the cognitive psychology literature. We find that, like humans, LLMs display irrationality in these tasks. However, the way this irrationality is displayed does not reflect that shown by humans. When incorrect answers are given by LLMs to these tasks, they are often incorrect in ways that differ from human-like biases. On top of this, the LLMs reveal an additional layer of irrationality in the significant inconsistency of the responses. Aside from the experimental results, this paper seeks to make a methodological contribution by showing how we can assess and compare different capabilities of these types of models, in this case with respect to rational reasoning. 👉 https://lnkd.in/dxYHGe6u #machinelearning

Can Rhythm Sense Predict Language Skills? A new study unveils how our brains sync with language rhythms. High vs. low synchronizers differ in brain connections, impacting language learning. Is this ability innate? More research could unlock secrets of language acquisition.

assenting rhythms must dig far deeper from bottom up/middle out in seeking and granting vocal sensate predicability.

🚨 Dyscalculia Mythbuster 4🚨 Myth: Dyscalculia is the same as dyslexia but for numbers. Fact: While both dyslexia and dyscalculia are learning differences, they are distinct conditions. Dyslexia affects reading and language processing, while dyscalculia involves challenges with numbers and mathematical concepts. Although they can co-occur, they are not interchangeable. At the Institute of Neurodiversity, we aim to clarify these differences and ensure that neurominorities receive the specific support they need. Understanding the unique challenges of each condition is key to providing effective resources and strategies for success. #Dyscalculia #Dyslexia #Neurominorities #LearningDifferences #InstituteOfNeurodiversity #InclusionMatters #EducationAwareness

#Language #Reason #Cognition #Neuroscience #Conception #Perception #Gestalt #Thinking #Design #Reductionionism #Social Alf on: Is language needed to reason ? In studying Cognition and mind I was warned about functional MRI and other brain studies as they're not as empirical as what some people claim. We really don't know. Associations aren't always clear, even if an AI could correlate images with brain patterns. Brain injury studies, as much as functional task studies are not clear. ----------- So is language needed to reason ? Better questions maybe: Alf's hypothetical space in response: 1. Reasoning is often taught with language, this would connect language to that later reasoning 2. Reasoning can be split from language, as it is the concept, not the linguistic representation, to which language and reasoning refers and communicate in with mind 3. Reasoning and language can be codependent as gestalt processes with language, makes the mind fill in the gaps of sentences, words and larger passages in writing, soaking and verbal, gestural thinking, much like improvisatiinal Jazz or seeing things too. 4. Reasoning in the experiments still is expressed in language, whether chess or other physical tasks, which are language, a communication medium. 5. Reasoning does not require language, if it is not external or internal instruction based. Kid's playing with blocks, trying to get them not to fall, might have a picture they want to achieve. If it is extrinsically cued, via comparison with others, that would likely involve communication, or vicarious learning, so language. 6. Just because literal language communication, is not involved in some observable reasoning whether conscious, or unconscious, does not mean it is not lingual. 7. If the medium of mind, even neurones is more language, as much as math might be considered such, is not any meaningful neural action language ? 8. If the only meaningful representations for a study are linguistic in the medium of English for example. Doesn't that mean that the function and observation were language or lingual imposition, via the researcher being prosthetic, in the subject's cognitive system via language or vv ? 9. If the body, so physical linguistic faculties are turned off do virtual linguistic faculties, unconscious, turn on ? Or do these cooperate always. 10. If the driver of all including self is social. Can any reasoning be: devoid of, deprived of, removed from, separate to language. Likely no. Even opposing language, requires the activation of acknowledging it, to oppose it, as much as atheism relies on theism to drive it. 11. Is reasoning language, as Marvin Minsky suggests in Society of Mind. A basic primer on permutations of possibility in reasoning via agent systems ? Maybe related to New Atheism's memes and reduced biological design process systems. 12. The actual question might become, is reasoning always the language of design ? Needs some work ? My models answer some of them