Ocular dominance columns are stripes of neurons in the visual cortex of certain mammals (including humans [1] ) that respond preferentially to input from one eye or the other. [2] The columns span multiple cortical layers, and are laid out in a striped pattern across the surface of the striate cortex (V1). The stripes lie perpendicular to the orientation columns.
Ocular dominance columns were important in early studies of cortical plasticity, as it was found that monocular deprivation causes the columns to degrade, with the non-deprived eye assuming control of more of the cortical cells. [3]
It is believed that ocular dominance columns must be important in binocular vision. Surprisingly, however, many squirrel monkeys either lack or partially lack ocular dominance columns, which would not be expected if they are useful. This has led some to question whether they serve a purpose, or are just a byproduct of development. [4]
Ocular dominance columns were discovered in the 1960s by Hubel and Wiesel as part of their Nobel Prize winning work on the structure of the visual cortex in cats. Ocular dominance columns have since been found in many animals, such as ferrets, macaques, and humans. [2] Notably, they are also absent in many animals with binocular vision, such as rats. [5]
Ocular dominance columns are stripe shaped regions of the primary visual cortex that lie perpendicular to the orientation columns, [6] as can be seen in the accompanying figure. Different species have somewhat different morphologies and levels of organization. For example, humans, cats, ferrets, and macaques all have fairly well defined columns, while squirrel monkeys have quite variable columns. There is even variation in expression in individuals of the same species and in different parts of the cortex of the same individual. [4] [7] The columns are innervated by input from the lateral geniculate nucleus (LGN) into cortical layer 4 and have mostly reciprocal projections to many other parts of the visual cortex. [8]
The ocular dominance columns cover the primary (striate) visual cortex, with the exception of monocular regions of the cortical map corresponding to peripheral vision and the blind spot. [7] If the columns corresponding to one eye were colored, a pattern similar to that shown in the accompanying figure would be visible when looking at the surface of the cortex. However, the same region of cortex could also be colored by the direction of edge that it responds to, resulting in the orientation columns, which are laid out in a characteristic pinwheel shape. [note 2] Similarly, there are columns in the cortex that have high levels of the protein cytochrome oxidase. These are called cytochrome oxidase "blobs" because of their scattered blob-like appearance.
All three types of column are present in the visual cortex of humans [4] and macaques, [6] among other animals. In macaques, it was found that both blobs and pinwheel centers tend to lie in the center of ocular dominance columns, [6] but no particular relation has been found between pinwheel centers and blobs. [6] In humans, the layout of the columns is similar; however, humans have somewhat variable column expression with at least one subject having disordered columns similar to those commonly found in squirrel monkeys. [7]
Most early models of the columns supposed that there were discrete "modules" or "hypercolumns" tiling the cortex, consisting of a repeating unit containing a full set of orientation and ocular dominance columns. While such units can be constructed, the map of columns is so distorted that there is no repeating structure and no clear boundaries between modules. [6] Additionally, practically every combination of having or not having orientation, dominance, and cytochrome oxidase columns has been observed in one species or another. [4] Further confusing the issue, squirrel monkeys don't always express columns, and even when they do the cytochrome oxidase blobs are not in register with the ocular dominance columns. [9]
There is no consensus yet as to how ocular dominance columns are initially developed. One possibility is that they develop through Hebbian learning triggered by spontaneous activity coming from retinal waves in the eyes of the developing fetus, or from the LGN. Another possibility is that axonal guidance cues may guide the formation, or a combination of mechanisms may be at work. It is known that ocular dominance columns develop before birth, which indicates that if an activity dependent mechanism is involved it must work based on intrinsic activity rather than being sensory experience dependent. [10] It is known that spontaneous waves of activity in the retina occur before birth and that these waves are crucial for eye specific segregation of inputs to the LGN by correlating the activity of nearby neurons. [11] Similarly, the correlated activation for the retinal waves may direct development of the ocular dominance columns, which receive input from the LGN. [12] Similar spontaneous activity in the cortex may also play a role. [12] [13] In any case, it has been shown that disrupting the retinal waves at least alters the pattern of ocular dominance columns. [12]
Although the ocular dominance columns are formed before birth, there is a period after birth—formerly called a "critical period" and now called a "sensitive period"—when the ocular dominance columns may be modified by activity dependent plasticity. This plasticity is so strong that if the signals from both eyes are blocked the ocular dominance columns will completely desegregate. [14] Similarly, if one eye is closed ("monocular deprivation"), [3] removed [15] ("enucleation"), or silenced [16] during the sensitive period, the size of the columns corresponding to the removed eye shrink dramatically.
Many models have been proposed to explain the development and plasticity of the ocular dominance columns. In general these models can be split into two categories, those that posit formation via chemotaxis and those that posit a Hebbian activity dependent mechanism. [12] Generally, chemotaxis models assume activity independent formation via the action of axon guidance molecules, with the structures only later being refined by activity, but there are now known to be activity dependent [17] [18] and activity modifying [19] [20] guidance molecules.
One major model of the formation of the stripes seen in ocular dominance columns is that they form by Hebbian competition between axon terminals. [21] The ocular dominance columns look like Turing patterns, which can be formed by modified Hebbian mechanisms. In a normal Hebbian model, if two neurons are connected to a neuron and fire together, they increase the strength of the synapses, "moving" [note 3] [22] the axon terminals closer together. The model must be modified to incorporate incoming activity that is locally excitatory and long range inhibitory, because if this is not done then the column width will only be dependent on the width of the axonal arbor, and also segregation will often fail in the presence of inter eye correlation. [21] This basic model has since been extended to be more physiologically plausible with the addition of long term potentiation and depression, synaptic normalization, [23] neurotrophin release, [24] reuptake, [25] and spike-timing-dependent plasticity. [26]
Chemotactic models posit the existence of axon guidance molecules that direct the initial formation of the ocular dominance columns. These molecules would guide the axons as they develop based on markers specific to the axons from each eye. [12] All chemotactic models must take into account the activity dependent effects demonstrated in later development, [27] but they have been called for because several pieces of evidence make entirely activity dependent formation unlikely. First, it has been shown that the ocular dominance columns in squirrel monkeys have mirror symmetry across the cortex. This is very unlikely to occur by activity dependent means because it implies a correlation between the nasal [note 4] retina of one eye and the temporal [note 5] retina of the other, which has not been observed. Furthermore, work in achiasmatic [note 6] Belgian sheepdogs has shown that columns can form between the projections from the temporal and nasal retina of the same eye, clearly suggesting a nasal-temporal labeling, rather than contralateral vs. ipsilateral, which would be much easier to explain with activity dependent mechanisms. [28] Despite this, a molecular label that directs the formation of the ocular dominance columns has never been found. [12]
It has long been believed that ocular dominance columns play some role in binocular vision. [12] Another candidate function for ocular dominance columns (and for columns in general) is the minimization of connection lengths and processing time, which could be evolutionarily important. [29] It has even been suggested that the ocular dominance columns serve no function. [4]
The visual cortex of the brain is the area of the cerebral cortex that processes visual information. It is located in the occipital lobe. Sensory input originating from the eyes travels through the lateral geniculate nucleus in the thalamus and then reaches the visual cortex. The area of the visual cortex that receives the sensory input from the lateral geniculate nucleus is the primary visual cortex, also known as visual area 1 (V1), Brodmann area 17, or the striate cortex. The extrastriate areas consist of visual areas 2, 3, 4, and 5.
In neuroanatomy, the lateral geniculate nucleus is a structure in the thalamus and a key component of the mammalian visual pathway. It is a small, ovoid, ventral projection of the thalamus where the thalamus connects with the optic nerve. There are two LGNs, one on the left and another on the right side of the thalamus. In humans, both LGNs have six layers of neurons alternating with optic fibers.
The barrel cortex is a region of the somatosensory cortex that is identifiable in some species of rodents and species of at least two other orders and contains the barrel field. The 'barrels' of the barrel field are regions within cortical layer IV that are visibly darker when stained to reveal the presence of cytochrome c oxidase and are separated from each other by lighter areas called septa. These dark-staining regions are a major target for somatosensory inputs from the thalamus, and each barrel corresponds to a region of the body. Due to this distinctive cellular structure, organisation, and functional significance, the barrel cortex is a useful tool to understand cortical processing and has played an important role in neuroscience. The majority of what is known about corticothalamic processing comes from studying the barrel cortex, and researchers have intensively studied the barrel cortex as a model of neocortical column.
In developmental psychology and developmental biology, a critical period is a maturational stage in the lifespan of an organism during which the nervous system is especially sensitive to certain environmental stimuli. If, for some reason, the organism does not receive the appropriate stimulus during this "critical period" to learn a given skill or trait, it may be difficult, ultimately less successful, or even impossible, to develop certain associated functions later in life. Functions that are indispensable to an organism's survival, such as vision, are particularly likely to develop during critical periods. "Critical period" also relates to the ability to acquire one's first language. Researchers found that people who passed the "critical period" would not acquire their first language fluently.
In neuroscience, koniocellular cells, also called K-cells, are relatively small neurons located in the koniocellular layer of the lateral geniculate nucleus (LGN) within the thalamus of primates, including humans. The term 'koniocellular' is derived from Greek konio 'dust, poison'.
Stellate cells are neurons in the central nervous system, named for their star-like shape formed by dendritic processes radiating from the cell body. These cells play significant roles in various brain functions, including inhibition in the cerebellum and excitation in the cortex, and are involved in synaptic plasticity and neurovascular coupling.
Retinotopy is the mapping of visual input from the retina to neurons, particularly those neurons within the visual stream. For clarity, 'retinotopy' can be replaced with 'retinal mapping', and 'retinotopic' with 'retinally mapped'.
The subplate, also called the subplate zone, together with the marginal zone and the cortical plate, in the fetus represents the developmental anlage of the mammalian cerebral cortex. It was first described, as a separate transient fetal zone by Ivica Kostović and Mark E. Molliver in 1974.
In neuroanatomy, topographic map is the ordered projection of a sensory surface or an effector system to one or more structures of the central nervous system. Topographic maps can be found in all sensory systems and in many motor systems.
Blobs are sections of primary visual cortex (V1) above and below layer IV where groups of neurons sensitive to color assemble in cylindrical shapes. They were first identified in 1979 by Margaret Wong-Riley in cats when she used a cytochrome oxidase stain, from which they get their name. These areas receive input from koniocellular cells in the dorsal lateral geniculate nucleus dLGN and output to the thin stripes of area V2. Interblobs are areas between blobs that receive the same input, but are sensitive to orientation instead of color. They output to the pale and thick stripes of area V2.
Bienenstock–Cooper–Munro (BCM) theory, BCM synaptic modification, or the BCM rule, named after Elie Bienenstock, Leon Cooper, and Paul Munro, is a physical theory of learning in the visual cortex developed in 1981. The BCM model proposes a sliding threshold for long-term potentiation (LTP) or long-term depression (LTD) induction, and states that synaptic plasticity is stabilized by a dynamic adaptation of the time-averaged postsynaptic activity. According to the BCM model, when a pre-synaptic neuron fires, the post-synaptic neurons will tend to undergo LTP if it is in a high-activity state, or LTD if it is in a lower-activity state. This theory is often used to explain how cortical neurons can undergo both LTP or LTD depending on different conditioning stimulus protocols applied to pre-synaptic neurons.
Perineuronal nets (PNNs) are specialized extracellular matrix structures responsible for synaptic stabilization in the adult brain. PNNs are found around certain neuron cell bodies and proximal neurites in the central nervous system. PNNs play a critical role in the closure of the childhood critical period, and their digestion can cause restored critical period-like synaptic plasticity in the adult brain. They are largely negatively charged and composed of chondroitin sulfate proteoglycans, molecules that play a key role in development and plasticity during postnatal development and in the adult.
Nonsynaptic plasticity is a form of neuroplasticity that involves modification of ion channel function in the axon, dendrites, and cell body that results in specific changes in the integration of excitatory postsynaptic potentials and inhibitory postsynaptic potentials. Nonsynaptic plasticity is a modification of the intrinsic excitability of the neuron. It interacts with synaptic plasticity, but it is considered a separate entity from synaptic plasticity. Intrinsic modification of the electrical properties of neurons plays a role in many aspects of plasticity from homeostatic plasticity to learning and memory itself. Nonsynaptic plasticity affects synaptic integration, subthreshold propagation, spike generation, and other fundamental mechanisms of neurons at the cellular level. These individual neuronal alterations can result in changes in higher brain function, especially learning and memory. However, as an emerging field in neuroscience, much of the knowledge about nonsynaptic plasticity is uncertain and still requires further investigation to better define its role in brain function and behavior.
Monocular deprivation is an experimental technique used by neuroscientists to study central nervous system plasticity. Generally, one of an animal's eyes is sutured shut during a period of high cortical plasticity. This manipulation serves as an animal model for amblyopia, a permanent deficit in visual sensation not due to abnormalities in the eye.
A Bayesian Confidence Propagation Neural Network (BCPNN) is an artificial neural network inspired by Bayes' theorem, which regards neural computation and processing as probabilistic inference. Neural unit activations represent probability ("confidence") in the presence of input features or categories, synaptic weights are based on estimated correlations and the spread of activation corresponds to calculating posterior probabilities. It was originally proposed by Anders Lansner and Örjan Ekeberg at KTH Royal Institute of Technology. This probabilistic neural network model can also be run in generative mode to produce spontaneous activations and temporal sequences.
Orientation columns are organized regions of neurons that are excited by visual line stimuli of varying angles. These columns are located in the primary visual cortex (V1) and span multiple cortical layers. The geometry of the orientation columns are arranged in slabs that are perpendicular to the surface of the primary visual cortex.
Ly6/neurotoxin 1 is a protein in humans that is encoded by the LYNX1 gene. Alternatively spliced variants encoding different isoforms have been identified.
Mark Firman Bear is an American neuroscientist. He is currently the Picower Professor of Neuroscience at The Picower Institute for Learning and Memory at Massachusetts Institute of Technology. He is a former Howard Hughes Medical Institute Investigator; an Elected Fellow of the American Association for the Advancement of Science and the American Academy of Arts and Sciences; and a Member of the National Academy of Medicine.
Michael Paul Stryker is an American neuroscientist specializing in studies of how spontaneous neural activity organizes connections in the developing mammalian brain, and for research on the organization, development, and plasticity of the visual system in the ferret and the mouse.
Alev Erisir is a Turkish-American neuroscientist. She is a professor of psychology and the department chair at the University of Virginia in Charlottesville. Her primary research areas include synaptic connectivity in the visual and taste systems, neuronal circuit plasticity, and ultrastructural neuroanatomy.