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Extended Spiking Neural P Systems . . .
 ACMC/FCT 2007 WORKSHOP
, 2007
"... We consider extended variants of spiking neural P systems with decaying spikes (i.e., the spikes have a limited lifetime) and/or total spiking (i.e., the whole contents of a neuron is erased when it spikes). Although we use the extended model of spiking neural P systems, these restrictions of decayi ..."
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Cited by 2 (0 self)
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We consider extended variants of spiking neural P systems with decaying spikes (i.e., the spikes have a limited lifetime) and/or total spiking (i.e., the whole contents of a neuron is erased when it spikes). Although we use the extended model of spiking neural P systems, these restrictions
Homogeneous Spiking Neural P Systems without Delays
"... Abstract. Spiking neural P systems are a new class of bioinspired computing devices incorporating the ideas of spiking neural networks into P systems. Homogeneous spiking neural P systems are a variant of spiking neural P systems, where each neuron has the same set of rules. The universality of hom ..."
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Abstract. Spiking neural P systems are a new class of bioinspired computing devices incorporating the ideas of spiking neural networks into P systems. Homogeneous spiking neural P systems are a variant of spiking neural P systems, where each neuron has the same set of rules. The universality
On the efficiency of spiking neural P systems
 IN [17], VOL. I, 195–206, AND PROC. 8TH INTERN. CONF. ON ELECTRONICS, INFORMATION, AND COMMUNICATION, ULANBATOR
, 2006
"... Spiking neural P systems were recently introduced in [4] and proved to be Turing complete as number computing devices. In this paper we show that these systems are also computationally efficient. Specifically, we present a variant of spiking neural P systems which have, in their initial configurati ..."
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Cited by 15 (1 self)
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Spiking neural P systems were recently introduced in [4] and proved to be Turing complete as number computing devices. In this paper we show that these systems are also computationally efficient. Specifically, we present a variant of spiking neural P systems which have, in their initial
Dreams and spiking neural P systems
"... Abstract. The study of the human phenomena of sleep and wakefulness by means of spiking neural P systems is a recently proposed topic. We continue the investigations presented in [8] advancing towards a biologicallysophisticated model (we have only “natural ” features). More precisely, we propose a ..."
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Abstract. The study of the human phenomena of sleep and wakefulness by means of spiking neural P systems is a recently proposed topic. We continue the investigations presented in [8] advancing towards a biologicallysophisticated model (we have only “natural ” features). More precisely, we propose
Asynchronous spiking neural P systems
, 2007
"... We consider here spiking neural P systems with a nonsynchronized (i.e., asynchronous) use of rules: in any step, a neuron can apply or not apply its rules which are enabled by the number of spikes it contains (further spikes can come, thus changing the rules enabled in the next step). Because the t ..."
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Cited by 4 (1 self)
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We consider here spiking neural P systems with a nonsynchronized (i.e., asynchronous) use of rules: in any step, a neuron can apply or not apply its rules which are enabled by the number of spikes it contains (further spikes can come, thus changing the rules enabled in the next step). Because
On String Languages Generated by Spiking Neural P Systems
 In [39
, 2007
"... Summary. We continue the study of spiking neural P systems by considering these computing devices as binary string generators: the set of spike trains of halting computations of a given system constitutes the language generated by that system. Although the work of spiking neural P systems is rather ..."
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Cited by 2 (1 self)
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Summary. We continue the study of spiking neural P systems by considering these computing devices as binary string generators: the set of spike trains of halting computations of a given system constitutes the language generated by that system. Although the work of spiking neural P systems is rather
On the computational complexity of spiking neural P systems
 In 7th International Conference on Unconventional Computation (UC 2008), volume 5204 of LNCS
, 2008
"... Abstract. It is shown here that there is no standard spiking neural P system that simulates Turing machines with less than exponential time and space overheads. The spiking neural P systems considered here have a constant number of neurons that is independent of the input length. Following this, we ..."
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Cited by 7 (6 self)
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Abstract. It is shown here that there is no standard spiking neural P system that simulates Turing machines with less than exponential time and space overheads. The spiking neural P systems considered here have a constant number of neurons that is independent of the input length. Following this, we
A small universal spiking neural P system
 International Workshop on Computing with Biomolecules, Vienna, Austrian Computer Society
, 2008
"... In this work we give a small extended spiking neural P system that is weakly universal. This system is significantly smaller than the smallest strongly universal spiking neural P systems. Strong universality has strict conditions regarding the encoding of input and decoding of output. Weak universal ..."
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Cited by 6 (6 self)
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In this work we give a small extended spiking neural P system that is weakly universal. This system is significantly smaller than the smallest strongly universal spiking neural P systems. Strong universality has strict conditions regarding the encoding of input and decoding of output. Weak
Three small universal spiking neural P systems
"... In this work we give three small spiking neural P systems. We begin by constructing a universal spiking neural P system with extended rules and only 4 neurons. This is the smallest possible number of neurons for a universal system of its kind. We prove this by showing that the set of problems solved ..."
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In this work we give three small spiking neural P systems. We begin by constructing a universal spiking neural P system with extended rules and only 4 neurons. This is the smallest possible number of neurons for a universal system of its kind. We prove this by showing that the set of problems
Spike trains in spiking neural P systems
 Intern. J. Found. Computer Sci
, 2006
"... Abstract. We continue here the study of the recently introduced spiking neural P systems, which mimic the way that neurons communicate with each other by means of short electrical impulses, identical in shape (voltage), but emitted at precise moments of time. The sequence of moments when a neuron em ..."
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Cited by 33 (1 self)
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Abstract. We continue here the study of the recently introduced spiking neural P systems, which mimic the way that neurons communicate with each other by means of short electrical impulses, identical in shape (voltage), but emitted at precise moments of time. The sequence of moments when a neuron
Results 1  10
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