Florian Neukart

Any artificial neural network structure has been inspired by the inner workings of the human brain, but some have been even more so, in the sense that not only how neurons single and clusters of neurons function is important, but also how cortices (e.g. the visual cortex) process real-world data and which different types of cells are used and why. Data representation will be discussed in some more detail, and we will see that how data is presented to a machine learning algorithm is at least as… Show more

Any artificial neural network structure has been inspired by the inner workings of the human brain, but some have been even more so, in the sense that not only how neurons single and clusters of neurons function is important, but also how cortices (e.g. the visual cortex) process real-world data and which different types of cells are used and why. Data representation will be discussed in some more detail, and we will see that how data is presented to a machine learning algorithm is at least as important as the algorithm itself. ... Show less

From what we have understood about the inner workings of the human brain, our neural networks are initialized while we are developing in our mothers’ wombs, but not well configured to work in the outside world right after we are born. Learning in the human brain, which refers to building up neural networks over the neocortical hierarchies, involves a lot more than initializing connections and increasing the connection strength between neurons. Depending from the neuron type, even different… Show more

From what we have understood about the inner workings of the human brain, our neural networks are initialized while we are developing in our mothers’ wombs, but not well configured to work in the outside world right after we are born. Learning in the human brain, which refers to building up neural networks over the neocortical hierarchies, involves a lot more than initializing connections and increasing the connection strength between neurons. Depending from the neuron type, even different types of electrochemical signals (amplitude, frequency, period) may have no effect, result in firing bursts or a single activation only. Show less

Here we will have a closer look at some of the fundamental concepts and current standards in the field of computational intelligence (CI), which are particularized under the consideration of actual knowledge and research conducted. The focus is on artificial neural networks, as I consider them, together with Markov models, as one of the most valuable means for developing learning software. Artificial neural networks are not only applicable to the field of data mining but can make a software… Show more

Here we will have a closer look at some of the fundamental concepts and current standards in the field of computational intelligence (CI), which are particularized under the consideration of actual knowledge and research conducted. The focus is on artificial neural networks, as I consider them, together with Markov models, as one of the most valuable means for developing learning software. Artificial neural networks are not only applicable to the field of data mining but can make a software system capable of understanding and solving a presented problem statement through learning. ... Show less

Quantum computer science is one of the fields that seem to be very promising for future developments within the field of artificial intelligence, especially in terms of artificial neural networks or Markov models. This is due to the effects of quantum mechanics, which offer completely new possibilities for ANN learning. In the last years, the interest in theoretical aspects of quantum physics has grown intensely and thus, also research in computational neuroscience discovered it and is now… Show more

Quantum computer science is one of the fields that seem to be very promising for future developments within the field of artificial intelligence, especially in terms of artificial neural networks or Markov models. This is due to the effects of quantum mechanics, which offer completely new possibilities for ANN learning. In the last years, the interest in theoretical aspects of quantum physics has grown intensely and thus, also research in computational neuroscience discovered it and is now trying to make use of its possibilities. ... Show less

Deep artificial neural networks are, in some aspects, the most humanlike artificially developed way of processing information we have hitherto. Very impressive and important achievements have been made due to complex network structures and sophisticated training algorithms, and what can already be achieved is not so far from the capabilities of what parts of the human brain, such as the visual cortex, can achieve. However, until recently, the typical research in that area concerned problems… Show more

Deep artificial neural networks are, in some aspects, the most humanlike artificially developed way of processing information we have hitherto. Very impressive and important achievements have been made due to complex network structures and sophisticated training algorithms, and what can already be achieved is not so far from the capabilities of what parts of the human brain, such as the visual cortex, can achieve. However, until recently, the typical research in that area concerned problems that are perfectly suitable for being processed on a computer, like the prediction of numerical values or clustering of unstructured data, and individual approaches are simply not potent enough for approaching the full stack of a human brain’s capabilities.... Show less

When doing research in the field of artificial intelligence, sooner or later one is required to deal with what I consider the most fascinating thing Nature has equipped us with – the human brain. This extraordinary organ does not only allow us to understand the universe, but additionally provides us with feelings, conscious perception or the ability to control our bodies in highest precision. I have always tried not to shelve myself into a specific field of research; however, above all, I am a… Show more

When doing research in the field of artificial intelligence, sooner or later one is required to deal with what I consider the most fascinating thing Nature has equipped us with – the human brain. This extraordinary organ does not only allow us to understand the universe, but additionally provides us with feelings, conscious perception or the ability to control our bodies in highest precision. I have always tried not to shelve myself into a specific field of research; however, above all, I am a computer scientist and from a computer scientist’s point of view it is, at first, interesting how the brain is capable of processing, storing or recalling information. .... Show less

The model of consciousness brought forward by Hameroff and Penrose seems to be very promising, although for me, as a computer scientist, a solely physical explanation of human consciousness seems to be true only partially. I suppose that the brain as the structure being responsible for complex thought processes, information storage as well as home to our consciousness does benefit from quantum effects, however, not solely. It is required to take the organic specialties of living organisms into… Show more

The model of consciousness brought forward by Hameroff and Penrose seems to be very promising, although for me, as a computer scientist, a solely physical explanation of human consciousness seems to be true only partially. I suppose that the brain as the structure being responsible for complex thought processes, information storage as well as home to our consciousness does benefit from quantum effects, however, not solely. It is required to take the organic specialties of living organisms into consideration as well. Hameroff already mentioned that the cytoskeleton of a nerve cell differs from the one of other eukaryotic cells in the sense that the in the brain neurons are placed in parallel instead of radially, are more stable due to the support of proteins, are distributed more densely and form larger networks. ... Show less

The major goal of this elaboration is to work out how specific aspects of the human mind, namely those responsible for higher cognitive functions, function, and to figure out which hardware is required to process an artificial mind with the same, similar or superior capabilities. For this, I will focus on any approach that allows us to reproduce cognitive capabilities, but not necessarily achieve this target by the same means as evolution did. It makes sense, at this point, to provide an… Show more

The major goal of this elaboration is to work out how specific aspects of the human mind, namely those responsible for higher cognitive functions, function, and to figure out which hardware is required to process an artificial mind with the same, similar or superior capabilities. For this, I will focus on any approach that allows us to reproduce cognitive capabilities, but not necessarily achieve this target by the same means as evolution did. It makes sense, at this point, to provide an introduction to artificial intelligence in order to understand which areas of the neocortex are subject to AI research and development. ... Show less

Why may one suggest that quantum physical properties do have an influence on how information in the human brain is actually processed? It should be clear that the soma of a biological neuron features numerous branched dendrites, and at least one axon extending to other neurons, each of them featuring branches as well. We recall that neurons have a negative resting potential, at about –70 mV. If a specific neuron, which we call post-synaptic neuron by now, receives signals from other neurons… Show more

Why may one suggest that quantum physical properties do have an influence on how information in the human brain is actually processed? It should be clear that the soma of a biological neuron features numerous branched dendrites, and at least one axon extending to other neurons, each of them featuring branches as well. We recall that neurons have a negative resting potential, at about –70 mV. If a specific neuron, which we call post-synaptic neuron by now, receives signals from other neurons, which we call presynaptic neurons here, then its potential may be given a rise. Each of the neurons features a threshold at around –55 mV, which may be exceeded if the neurons potential has been given rise by several pre-synaptic signals. However, this does not necessarily happen, as the synapse transferring the signal may not only be excitatory, thus send a positive signal consequently leading to a rise of the post-synaptic neuron’s potential, but also inhibitory, meaning that it decreases the post-synaptic neuron’s potential and consequently also decreases this specific neuron’s probability for firing. ... Show less

Florian Neukart describes methods for interpreting signals in the human brain in combination with state of the art AI, allowing for the creation of artificial conscious entities (ACE). Key methods are to establish a symbiotic relationship between a biological brain, sensors, AI and quantum hard- and software, resulting in solutions for the continuous consciousness-problem as well as other state of the art problems. The research conducted by the author attracts considerable attention, as there… Show more

Florian Neukart describes methods for interpreting signals in the human brain in combination with state of the art AI, allowing for the creation of artificial conscious entities (ACE). Key methods are to establish a symbiotic relationship between a biological brain, sensors, AI and quantum hard- and software, resulting in solutions for the continuous consciousness-problem as well as other state of the art problems. The research conducted by the author attracts considerable attention, as there is a deep urge for people to understand what advanced technology means in terms of the future of mankind. This work marks the beginning of a journey – the journey towards machines with conscious action and artificially accelerated human evolution. Show less