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Dive into the research topics where Jenny Kien is active.

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Featured researches published by Jenny Kien.


Journal of Insect Physiology | 1984

Descending interneurones from the brain and suboesophageal ganglia and their role in the control of locust behaviour

Jenny Kien; Jennifer S. Altman

Abstract Lesion and stimulation experiments suggest that the suboesophageal ganglion (SOG) plays a special role in the control of insect behaviour: in bilateral coordination and by maintaining ongoing motor activity. Anatomical observations indicate that there are descending interneurones (DINs) originating in the SOG in addition to those from the brain. An SOG preparation for sampling both types of DIN intracellularly in walking locusts is described. Forty-three units showing activity changes during leg movements and walking were recorded. Using dye injection six were shown to be through-running axons; one was an SOG ascending interneurone; and eight were SOG DINs, 7 contralateral, one ipsilateral. All fired before or during movements and received various sensory inputs. Many gave complex responses to different modalities, several showing directional preferences. Some SOG neurones showed spontaneous changes in activity; activity outlasting movements; or responses to passive as well as active movements. These preliminary results suggest neuronal substrates for the special functions of the SOG in behaviour. They also indicate that DINs, rather than being simple relays, are part of a dynamic network which includes the motor centres. Regulation of complex and subtle aspects of behaviour may be achieved by dynamic and sequential patterns of activity in groups of DINs, some of which may be multifunctional.


Neural Computation | 1989

New Models for Motor Control

Jennifer S. Altman; Jenny Kien

What do a prototype robot (Brooks 1989) and a model for the control of behavioral choice in insects (Altman and Kien 1987a) have in common? And what do they share with a scratching cat (Shadmehr 1989)? The answer is distributed control systems that do not depend on a central command center for the execution of behavioral outputs. The first two in particular are examples of a growing trend to replace the long-held concept of linear hierarchical control of motor output with one of decentralized, distributed control, with inputs at many levels and the output a consensus of the activity in several centers. Brooks (1989) describes a six-legged machine that, in its most advanced form, can walk over rough terrain and prowl around following a source of warmth, such as a person. The six legs, chosen as a compromise between stability and ease of coordination, give the robot a superficial resemblance to an insect but the similarity goes deeper. The modular control system, designed strictly on engineering principles for maximum efficiency and economy, bears a striking similarity to the model we have proposed elsewhere (Altman and Kien 1987a) to describe the organization of the motor system in insects such as the locust. In both systems, the same set of components can generate different behaviors, depending on the context, and similar principles govern the generation of different levels of behavior, from movements of a single leg to coordinated responses of the whole beast. Neither requires a single center for integrating all sensory information and conflicts tend to be resolved by consensus at the motor level.


Comparative Biochemistry and Physiology Part A: Physiology | 1992

Preparation and execution of movement: Parallels between insect and mammalian motor systems

Jenny Kien; Jennifer S. Altman

1. The organization of the motor systems underlying locomotion in insects and mammals is surprisingly similar. There are also parallels between the insect motor system and the system underlying reaching and the occulomotor system in primates. 2. The movements generated by all these systems are planned or prepared before their execution and there is a partial separation of circuits for preparation and execution. 3. These circuits consist of multiple descending pathways interconnected to form overlapping loops which work co-operatively to determine the motor output. Thus, both insect and mammalian motor systems can be treated as parallel distributed (PDP) systems. 4. This enables a comparison of functional levels of processing in the different systems and also provides a basis for modelling motor systems with attractor neural networks.


NATO advanced study institute on nervous systems in invertebrates | 1987

A Model for Decision Making in the Insect Nervous System

Jennifer S. Altman; Jenny Kien

Little is known about the neuronal mechanisms for selecting behavioural outputs appropriate to ongoing conditions. We present a model in which decisions are made by a concensus between the inputs at each stage in the system, not by a few neurones in a single centre. The stages are interconnected by loops of varying lengths, each with specific control functions. Neuromodulators and hormones contribute to the overall output by altering excitability but no single input is necessary and sufficient for producing any output.


International Journal of Insect Morphology & Embryology | 1990

Organisation of intersegmental interneurons in the suboesophageal ganglion of Schistocerca gregaria (Forksal) and Locusta migratoria migratorioides (Reiche & Fairmaire) (Acrididae, Orthoptera

Jenny Kien; W.A. Fletcher; Jennifer S. Altman; J.-M. Ramirez; U. Roth

Abstract The subeosophageal ganglion (SOG) in insects is both a segmental centre coordinating the mouthparts and neck muscles and a suprasegmental motor control centre. Descending interneurons (DINs) and ascending interneurons (AINs) originating in the SOG project to the segmental motor centres of the ventral nerve cord and to the brain, respectively. Here, we show that there are about 300 DINs with cell bodies in the SOG, and present detailed description of the morphology of the 36 largest DINs and 17 AINs, most of which are members of bilateral pairs. Most have extensive dorsal branching usually extending through more than one of the 3 fused segmental neuromeres. All have some ventral or ventrolateral branching, but 2 DINs and 2 AINs are characterised by particularly extensive ventromedial branching. Some of the other AINs have more extensive ventral branching than the DINs. Functional implications of the overlaps of the interneurons with motor, sensory and other interneurons in the SOG support the role of these neurons in suprasegmental co-ordination with a possible subsidiary role in local motor control.


Neurobiology of Motor Programme Selection#R##N#New Approaches to the Study of Behavioural Choice | 1992

Decision-making in the insect nervous system: a model for selection and maintenance of motor programmes

Jenny Kien; Jennifer S. Altman

Publisher Summary This chapter presents a decision-making model system for the selection and maintenance of motor programs. In this model, the selection of an appropriate output is a function distributed over the whole nervous system. A particular behavior occurs as a result of the balance of activities in different parts of the nervous system at any instant. The decision-making model considers the motor system as several interconnected stations, which approximate to brain, suboesophageal ganglion, and segmental ganglia in the locust. Each station contains the networks that generate the output of the station. The three basic principles that determine the model are across-fiber patterns, consensus, and interconnections in loops. These principles offer tools for analyzing the operations of circular systems, taking the dynamics and flexibility of behavior into account. This model is useful in analyzing the functions of various molluscan networks and is able to simulate learning and memory. It provides a powerful tool for the formal modeling of a motor function that is now essential for a deeper understanding of the operating principles involved in motor control.


Biological Cybernetics | 1994

Dynamics of diluted attractor neural networks with delays

Klaus Nützel; Jenny Kien; Karin Bauer; Jennifer S. Altman; U. Krey

We present an analysis of the attractors of a deterministic dynamics in formal neural networks characterized by binary threshold units and a nonsymmetric connectivity. It is shown that in these networks a stored pattern or a pattern sequence is represented by a cloud of attractors rather than by a single attractor. Dilution, which we describe by a power-law scaling, and delayed couplings are shown to equip this type of network with a dynamic behaviour that is interesting enough for simplified models of biological motor systems.


International Journal of Insect Morphology & Embryology | 1994

Projections of suboesophageal descending interneurons in thoracic ganglia of the grasshopper Omocestus viridulus L. (Orthoptera : Acrididae)

Uschi Roth; Jenny Kien; Jennifer S. Altman

Abstract Descending interneurons (DINs) from the suboesophageal ganglion (SOG) and some from the brain of the grasshopper Omocestus viridulus L. (Orthoptera : Acrididae) were stained intracellularly with Lucifer Yellow, and the details of their projections in SOG, prothoracic, and, where possible, mesothoracic ganglion were examined. DINs could be followed through the prothoracic ganglion in only c .10% of the preparations. Several SOG DINs terminated in the prothoracic ganglion, while some terminated in the mesothoracic ganglion. The few DINs, which could be followed through the mesothoracic ganglion, had the same projections in both thoracic ganglia. Three major thoracic projection forms were found: lateral, mediolateral and medial. Most DINs, both from the brain and SOG, branch dorsally in thoracic motor integration neuropiles, although not necessarily exclusively. Two DINs with branches only in the ventral sensory integration areas were found. The arborisation or depth profile of the DINs in the SOG does not correlate with the projection in the thoracic ganglia. The functional consequences for the role of the SOG in suprasegmental motor control are discussed.


The Journal of Comparative Neurology | 1984

A comparative study of neck muscle motor neurons in a cricket and a locust

Hans-Willi Honegger; Jennifer S. Altman; Jenny Kien; Rosemarie Müller‐Tautz; Elisabeth Pollerberg


Trends in Neurosciences | 1990

Highlighting Aplysia's networks

Jennifer S. Altman; Jenny Kien

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U. Krey

University of Regensburg

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