Brain is a part of the central nervous system, and the most complex human organ located in the skull bone „armour“. The brain has a virtually inexhaustible capacity to learn. Multiple research suggest the huge complexity of the brain learning. For successful learning, strategies and memory systems are very important but they also depends on enriched environment which directly affects on brain plasticity and thus the development of brain structure. The basic mechanism of brain learning presented early in development is named predictive coding information. Encoding, sleep and sleep deprivation have an effect on memory consolidation which can have effect on long – term memory. It's important to understand the relationship between neurological development and learning because some learning difficulties may be the result of brain structure development.

Every year around Christmas we receive a visitor from the Nordic countries. A hawk keeps returning to a particular branch of a single tree throughout the entire winter, knowing that he will obtain daily treats with little effort. With the advent of spring, he happily returns to his breeding grounds, only to reappear the following winter. This raptor has associated that particular tree branch with easy food and distinguishes it from millions of virtually identical tree branches between Scandinavia and Flanders. Linking sensory stimuli with value is essential to survival, not only for this particular bird but for any organism, both invertebrates and vertebrates. This type of information needs to be encoded, stored, and quickly retrieved after the first stimulus–value associations have been made, and to remain available even after extensive periods of time in the absence of contingent stimulus–reward associations. While short-term memory allows recall of recently acquired information for up to a minute, its capacity is very limited. Long-term memory, on the other hand, has a much greater storage capacity, lasting up to a lifetime. The initial phase of stimulus–value associations depends on dopaminergic-dependent reward-prediction error signals broadcasted by the ventral midbrain, which can be either positive or negative. These signals are ideally suited to promote or suppress behavior associated with the reward (1, 2). The storage in short-term memory is thought to depend on the

of information suggest that human long-term memory is virtually limitless (Landauer, 1986; Standing … understand short-term memory as extending over hours and days, and long-term memory as being … intended. For example, if short-term memory is a gateway to long-term memory, we must change our

Given that neocortex is genetically organized as a classifying mechanism, it also permits virtually limitless part-novel learning and best-match reality-testing of percepts (and concepts in humans). In schizophrenia the non-specific booster system is bilaterally blocked at the centromedian nucleus. In mania the non-specific thalamic system is shunted, at midbrain, into the non-specific direct cortical system. In melancholia both of these brainstem systems are subnormal in non-specific output. Figure 1 schematizes the main axonal circuitry. Analogical integration occurs within predominantly dendro-dendritic networks. Published in Medical hypotheses (1984)

"Learning and memory processes are basic features of human existence. They allow us to (un)consciously adapt to changes in our social and physical environment in a variety of ways and may have been a precursor for survival in human evolution. Through several reviews and original work the book focuses on three key topics that enhanced our understanding of the topic in the last twenty years: first, the role of real-time auditory feedback in learning, second, the role of motor aspects for learning and memory, and third, representations in memory and the role of sleep on memory consolidation"-- Pr

Long-term memory formation is a major function of sleep. Based on evidence from neurophysiological and behavioral studies mainly in humans and rodents, we consider the formation of long-term memory during sleep as an active systems consolidation process that is embedded in a process of global synaptic downscaling. Repeated neuronal replay of representations originating from the hippocampus during slow-wave sleep leads to a gradual transformation and integration of representations in neocortical networks. We highlight three features of this process: (i) hippocampal replay that, by capturing episodic memory aspects, drives consolidation of both hippocampus-dependent and non-hippocampus-dependent memory; (ii) brain oscillations hallmarking slow-wave and rapid-eye movement sleep that provide mechanisms for regulating both information flow across distant brain networks and local synaptic plasticity; and (iii) qualitative transformations of memories during systems consolidation resulting in abstracted, gist-like representations.

Memory consolidation refers to the transformation over time of experience-dependent internal representations and their neurobiological underpinnings. The process is assumed to be embodied in synaptic and cellular modifications at brain circuits in which the memory is initially encoded and to proceed by recurrent reactivations, both during wakefulness and during sleep, culminating in the distribution of information to additional locales and integration of new information into existing knowledge. We present snapshots of our current knowledge and gaps in knowledge concerning the progress of consolidation over time and the cognitive architecture that supports it and shapes our long-term memories.

Learning is a multidimensional process resulting from the interaction between cognitive and emotional factors within the learning context; in this respect the quality of the student-teacher relationship plays a significant role. Although the literature suggests that cognitive processes and emotions experienced during learning and task performing play a central role in academic achievement, it remains unclear how these factors interact with socio-affective factors in explaining academic performance, particularly in second language (L2) learning from primary school. This systematic review and meta-analysis focused on the studies that jointly or individually investigated the role of emotional factors (achievement emotions), socio-affective factors (student-teacher relationship) and cognitive factors (working memory) in L2 learning during primary school. Our sample contained 19 primary studies with 5,340 participants involved in at least one of the factors of our interest. 16 out of 19 studies were included in the meta-analysis. Our results showed a positive correlation between working memory and L2 learning, differentiated effects of achievement emotions, with a significant negative association with anxiety, and a small but positive association with enjoyment. The student-teacher relationship was supported only by qualitative evidence, however, showing a protective effect of emotional closeness to the teacher in the learning process in the presence of negative emotions such as anxiety. Findings support the importance of integrating cognitive, emotional, and relational factors to understand L2 learning in primary school. Further empirical research focusing on positive emotions and relational dynamics in different educational contexts is needed.